Kaggle

Kaggle смотреть последние обновления за сегодня на .

3 Proven Data Science Projects for Beginners (Kaggle)

301738
16934
512
00:07:34
17.02.2020

In this video I go through 3 data science projects that beginners should do. All three of these projects are found on kaggle (🤍 Project 1: House Prices Regression (🤍 Project 2: Titanic Classification (🤍 Project 3: Deep Learning Number Recognition (🤍 These data science projects should be where you start and not featured on your resume. Data science projects that are on unique data sets and that are more advanced will help you get a job. These 3 projects will help you learn the concepts and get you familiar with python. #DataScience #KenJee #DataScienceBeginners #DataScienceProjects #DataScience #KenJee ⭕ Subscribe: 🤍 🎙 Listen to My Podcast: 🤍 🕸 Check out My Website - 🤍 ✍️Sign up for My Newsletter - 🤍 📚 Books and Products I use - 🤍 (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): 🤍 🌟 Interview Query - 🤍 MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - 🤍 👔 LinkedIn - 🤍 📈 Kaggle - 🤍 📑 Medium Articles - 🤍 💻 Github - 🤍 🏀 My Sports Blog -🤍 Check These Videos Out Next! My Leaderboard Project: 🤍 66 Days of Data: 🤍 How I Would Learn Data Science in 2021: 🤍 My Playlists Data Science Beginners: 🤍 Project From Scratch: 🤍 Kaggle Projects: 🤍

Kaggle Grandmaster Profile: Martin Henze (Heads or Tails)

15547
544
21
00:03:50
07.05.2020

"After ten years of looking at the stars, maybe it was time to focus my gaze on the real world, and the people who live in the real world" — Martin, on his career transition. Meet Martin Henze (aka Heads or Tails), PhD Astrophysicist, Data Scientist, Kaggle Grandmaster. Follow Martin: 🤍 🤍 🤍 Read more about Martin: 🤍 Video contains English-language subtitles. To contribute subtitles in your native language, please add them here: 🤍 - SUBSCRIBE: 🤍 About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online: Visit the WEBSITE: 🤍 Like Kaggle on FACEBOOK: 🤍 Follow Kaggle on TWITTER: 🤍 Check out our BLOG: 🤍 Connect with us on LINKEDIN: 🤍 Advance your data science skills: Take our free online courses: 🤍 Get started with Kaggle Kernels: 🤍 Download clean datasets from Kaggle: 🤍 Sign up for a Kaggle Competition: 🤍 Explore the Kaggle Public API: 🤍 Kaggle 🤍

Kaggle Competitions : Everything you need to know.

11646
419
14
00:18:39
29.01.2022

In this video kaggle grandmaster Rob Mulla goes over his tips for first time kagglers joining a kaggle competition. A must to watch before starting. Learn the basics of how to get started on your first kaggle competition. Kaggle is a great way to learn data science and machine learning. Timeline: 00:00 Intro 01:00 Selecting a Competition 03:51 The Competition Overview 08:27 The Data Section 10:14 The Discussion Section 12:21 The Code Section 14:20 The Leaderboard 16:04 Rules, Team and Submission 18:25 Outro Join the competition: 🤍 Follow me on twitch for live coding streams: 🤍 Intro to Pandas video: 🤍 Exploritory Data Analysis Video: 🤍 * Youtube: 🤍 * Twitch: 🤍 * Twitter: 🤍 * Kaggle: 🤍 #Kaggle #DataScience #MachineLearning

How to Use Kaggle For Learning Data Science? | GeeksforGeeks

43965
1131
21
00:17:04
06.06.2021

In this video, we're going to discuss How we can use Kaggle to learn Data Science. Kaggle is an online community devoted to Data Science and Machine Learning founded by Google in 2010. It is the best place to start playing with data as it hosts over 23,000 public datasets and more than 200,000 public notebooks that can be run online. In addition, Kaggle also hosts many Data Science competitions with insanely high cash prizes. So, let's get started now. 00:00 Let's Start 00:43 Why Kaggle? 02:57 Kaggle Competitions 07:30 Kaggle Datasets 08:21 Kaggle Code / Notebooks 14:01 Kaggle Discussions 15:55 Other Benefits from Kaggle 16:39 Closing Notes Check Out the Related Article: How Should a Machine Learning Beginner Get Started on Kaggle? [🤍 Apply For Video Internship Program [🤍 Our courses: 🤍 This video is contributed by Gaurav Sahani Please Like, Comment, and Share the Video with your friends. #datascience #kaggle #geeksforgeeks #machinelearning #python Install our Android App: 🤍 If you wish, translate into the local language and help us reach millions of other geeks: 🤍 Follow us on our Social Media Handles - Twitter- 🤍 LinkedIn- 🤍 Facebook- 🤍 Instagram- 🤍 Reddit- 🤍 Telegram- 🤍 Also, Subscribe if you haven't already! :)

Beginner Kaggle Data Science Project Walk-Through (Titanic)

259532
6091
394
00:38:16
17.07.2020

In this video I walk through an entire Kaggle data science project. I use the titanic kaggle competition to show you how I start thinking about the problems. I also show you the systematic approach that I use to explore the data, build the models, and submit the solution. Kaggle notebook: 🤍 My Kaggle Profile: 🤍 Feel free to follow along with the code! You don't need to understand everything that is going on under the hood of the algorithms, for a beginner, learning to implement them should be enough. This video covers - Project Planning - Data exploration - Data Visualization (light) - Replacing null values - Feature engineering - Data Cleaning - Model Production - Model Tuning - Kaggle model submission #DataScience #KenJee ⭕ Subscribe: 🤍 🎙 Listen to My Podcast: 🤍 🕸 Check out My Website - 🤍 ✍️Sign up for My Newsletter - 🤍 📚 Books and Products I use - 🤍 (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): 🤍 🌟 Interview Query - 🤍 MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - 🤍 👔 LinkedIn - 🤍 📈 Kaggle - 🤍 📑 Medium Articles - 🤍 💻 Github - 🤍 🏀 My Sports Blog -🤍 Check These Videos Out Next! My Leaderboard Project: 🤍 66 Days of Data: 🤍 How I Would Learn Data Science in 2021: 🤍 My Playlists Data Science Beginners: 🤍 Project From Scratch: 🤍 Kaggle Projects: 🤍

How to Make a Data Science Project with Kaggle

127465
3146
49
00:21:00
03.07.2018

It can take a lot of tools to do data science, but Kaggle is a one-stop shop that provides all the tools to share and collaborate on data science projects. In the episode of AI Adventures, Yufeng is joined by Megan Risdal, product lead for datasets at Kaggle. They’ll teach you how to make a data science project with Kaggle, and more! Associated blog post → 🤍 Get started with Kaggle → 🤍 Introduction to Kaggle Kernels → 🤍 [Dataset] LA County Health Code Violations → 🤍 [Kernel] Exploring LA County Health Code Violations → 🤍 Watch more AI Adventures → 🤍 Subscribe to the Google Cloud Platform channel → 🤍 #AIAdventures

What's Kaggle?

348828
3256
313
00:01:02
13.06.2019

Stop staring at a blank cell. Kaggle makes it easy to start your next data science project with MORE than just a blinking cursor. Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online: Visit the WEBSITE: 🤍 Like Kaggle on FACEBOOK: 🤍 Follow Kaggle on TWITTER: 🤍 Check out our BLOG: 🤍 Connect with us on LINKEDIN: 🤍 Advance your data science skills: Take our free online courses: 🤍 Get started with Kaggle Kernels: 🤍 Download clean datasets from Kaggle: 🤍 Sign up for a Kaggle Competition: 🤍 Explore the Kaggle Public API: 🤍 Kaggle 🤍

End-To-End Data Science with Kaggle | Competition speed run?

11411
447
26
02:31:36
23.07.2022

Daily coding live stream, today working on: -Speed running kaggle Oh, and don't forget to connect with me! LinkedIn: 🤍 Facebook: 🤍 GitHub: 🤍 Patreon: 🤍 Join the Discussion on Discord: 🤍 Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! #machinelearning #ai #python

All you need to know about Kaggle | What is Kaggle | Kaggle Competitions | Great Learning

63593
1591
41
00:13:26
30.11.2020

🔥1000+ Free Courses With Free Certificates: 🤍 🔥Build a successful career in Artificial Intelligence and Machine Learning: 🤍 Kaggle is the world's largest data science community providing us with powerful tools and resources to help us achieve all our data science milestones. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. We can access free GPUs and a huge repository of the community published data & code at no cost. How cool is that!! Inside Kaggle you’ll find all the code & data you need to do your data science projects. There are over 50,000 public datasets and 400,000 public notebooks available to use for all. This platform is trusted by some of the largest data science companies of the world such as Walmart, Facebook, and Winton Capital. Kaggle is an AirBnB for Data Scientists – this is where they spend all their valuable time. According to research, It has over 536,000 active members from 194 countries and it receives close to 150,000 submissions per month. Kaggle enables data scientists and other developers to engage in running machine learning contests, write and share code, and to host datasets. The types of data science problems posted on Kaggle can be anything from attempting to predict cancer occurrence by examining patient records to analyzing sentiment to evoke by movie reviews and how this affects audience reaction. Kaggle is worth your time because it provides Interesting and challenging projects where contributors can learn and practice, gives Insightful discussions with industry leaders, and learned experts. Kaggle offers its audience a chance to get into the biggest data science community in the world. This Kaggle tutorial is enough to clear all your doubts regarding working with Kaggle. #kaggle #whatiskaggle #kaggletutorial #Kagglecompetition #knowkaggle #kaggletutorialforbeginners #Kaggleprojects #datascience #learnkaggle #kaggleforbeginners ⚡ About Great Learning Academy: Visit Great Learning Academy to get access to 1000+ free courses with free certificate on Data Science, Data Analytics, Digital Marketing, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development, and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. ⚡ About Great Learning: With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU'S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more. SOCIAL MEDIA LINKS: 🔹 For more interesting tutorials, don't forget to subscribe to our channel: 🤍 🔹 For more updates on courses and tips follow us on: ✅ Telegram: 🤍 ✅ Facebook: 🤍 ✅ LinkedIn: 🤍 ✅ Follow our Blog: 🤍

The state of data science and machine learning in 2022 by Kaggle

1165
43
1
00:28:49
11.10.2022

Insights from Kaggle's annual survey focused on working data scientists. Kaggle is the world's largest community of data scientists, and for the past 6 years the Kaggle Team has conducted a massive survey of machine learning practitioners. Fashioned after the renowned Stack Overflow Developer Survey, we ask questions about our data science and ML developer users' backgrounds, how they learn, which ML tools they’re using, details about their work life, and what they look forward to in the industry. Speaker: Paul Mooney, PhD Watch more: All sessions from Google Cloud Next → 🤍 Watch all the Design sessions → 🤍 Subscribe to Google Cloud Tech → 🤍 The state of data science and machine learning in 2022 by Kaggle DSN103

Kaggle Competition - House Prices: Advanced Regression Techniques Part1

225297
3612
295
00:31:22
08.09.2019

In this video I will be showing how we can participate in Kaggle competition by solving a problem statement. #Kaggle #MachineLearning github: 🤍 If you like music support my brother's channel 🤍 Support me in Patreon: 🤍 Buy the Best book of Machine Learning, Deep Learning with python sklearn and tensorflow from below amazon url: 🤍 You can buy my book on Finance with Machine Learning and Deep Learning from the below url amazon url: 🤍 Connect with me here: Twitter: 🤍 Facebook: 🤍 instagram: 🤍 Subscribe my unboxing Channel 🤍 Below are the various playlist created on ML,Data Science and Deep Learning. Please subscribe and support the channel. Happy Learning! Deep Learning Playlist: 🤍 Data Science Projects playlist: 🤍 NLP playlist: 🤍 Statistics Playlist: 🤍 Feature Engineering playlist: 🤍 Computer Vision playlist: 🤍 Data Science Interview Question playlist: 🤍 You can buy my book on Finance with Machine Learning and Deep Learning from the below url amazon url: 🤍 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL

How to Get Started with Kaggle’s Titanic Competition | Kaggle

416618
8900
170
00:06:37
30.09.2019

New to Kaggle? Our Titanic competition is a great place to start. In this video, Kaggle data scientist Dr. Rachael Tatman walks you through the Titanic competition, explaining the details of the competition, where to get started and how to further improve your score. Alexis’ “Getting Started with Titanic” Tutorial: 🤍 SUBSCRIBE: 🤍 About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online: Visit the WEBSITE: 🤍 Like Kaggle on FACEBOOK: 🤍 Follow Kaggle on TWITTER: 🤍 Check out our BLOG: 🤍 Connect with us on LINKEDIN: 🤍 Advance your data science skills: Take our free online courses: 🤍 Get started with Kaggle Kernels: 🤍 Download clean datasets from Kaggle: 🤍 Sign up for a Kaggle Competition: 🤍 Explore the Kaggle Public API: 🤍 How to Get Started with Kaggle’s Titanic Competition | Kaggle 🤍 Kaggle 🤍

موقع Kaggle بالتفصيل

6376
390
21
00:12:49
13.02.2022

يمكنك الانضمام للقناه ومساعدتنا علي نشر محتوي اكثر : 🤍 القناه مختصه بتعلم بايثون من الصفر واغلب مجالاتها ، هتلاقي علي القناه اساسيات تعلم بايثون من الصفر بالاضافه لكورسات أساسيات لبرمجه تطبيقات الديسك توب وبرمجه المواقع بدجانجو بالاضافه لكورسات مشاريع في الديسك توب وفي دجانجو تقدر تدعمنا ماديا من هنا وتساعدنا ننشر محتوي اكثر 🤍 لينك كل الاكواد الخاصه بالكورسات علي حسابي علي ال github 🤍 الجروب الخاص بيا لتعلم بايثون علي اليوتيوب واكبر تجمع لمبرمجين بايثون في الوطن العربي 🤍 حسابي علي الفيس بوك لاي استفسار 🤍 الايميل الخاص بيا لبرمجه المشاريع والكورسات الخاصه Pythondeveloper6🤍gmail.com حسابي علي تويتر 🤍 متنساش الاشتراك في القناه #محمودـاحمد. #بايثون. #تعلمـبايثون. #شروحاتـبايثون. #تعلمـالبرمجه

Getting Started on Kaggle: Writing code to analyze a dataset | Kaggle

54733
691
21
00:04:54
16.10.2018

In this video, Kaggle Data Scientist Rachael shows you how to analyze Kaggle datasets in Kaggle Kernels, our in-browser SUBSCRIBE: 🤍 About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online: Visit the WEBSITE: 🤍 Like Kaggle on FACEBOOK: 🤍 Follow Kaggle on TWITTER: 🤍 Check out our BLOG: 🤍 Connect with us on LINKEDIN: 🤍 Advance your data science skills: Take our free online courses: 🤍 Get started with Kaggle Kernels: 🤍 Download clean datasets from Kaggle: 🤍 Sign up for a Kaggle Competition: 🤍 Explore the Kaggle Public API: 🤍 Getting Started on Kaggle: Writing code to analyze a dataset | Kaggle 🤍 Kaggle 🤍

Everything You Need To Know About Kaggle | Kaggle For Beginners

8541
465
32
00:31:25
28.10.2021

About CampusX: CampusX is an online mentorship program for engineering students. We offer a 6-month long mentorship to students in the latest cutting - edge technologies like Machine Learning, Python, Web Development, and Deep Learning & Neural networks. At its core, CampusX aims to change this education system of India. We believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. Through our mentorship program, we aim to bring quality education to every single student. A mentored student is provided with guidance on how to ace a technology through 24x7 mentorship, live and recorded video lectures, daily skill-building activities, project assignments, and evaluation, hackathons, interactions with industry experts, soft skill training, personal counseling, and comprehensive reports. All we need from you is intent, a ray of passion to learn. Connect with us: Website: 🤍 Medium Blog: 🤍 Facebook: 🤍 Linkedin: linkedin.com/company/campusx-official Instagram: 🤍 Github: 🤍 Email: support🤍campusx.in Like my content? Consider supporting the channel. The link is provided below- 🤍

How I Would Learn Data Science in 2022 (If I Had to Start Over)

303689
13638
503
00:12:14
27.12.2021

Every year, I like to refresh my advice about how I would go about learning data science from ground zero. The data domain is changing rapidly, and as my own knowledge grows, I think it is important to re-evaluate the approach that I would recommend. Resources for Learning Data science (Paid) 365 Data Science ( 57% Annual Discount): 🤍 (Free) 🤍 (Free) 🤍 Resources for Learning Programming (Paid) 365 Data Science ( 57% Annual Discount): 🤍 (Free) 🤍 (Free) 🤍 Pandas Documentation: 🤍 Ken's Project Playlist: 🤍 #66DaysOfData: 🤍 0:00 Intro 0:42 Is it Possible to Learn Data Science? 1:33 Where to Start Learning 2:33 How to Create a Learning Map 3:55 What Would My Learning Plan Look Like? 5:28 Before You Start with Projects... 7:05 Statistics??? 7:45 Project Obsession 9:00 How to Leverage Projects Effectively 10:14 How Long Will This Take? 10:48 An Important Note on Goals Starting off, I want to debunk the idea that you can “learn data science”. This implies that data science is a static subject that can be learned in its entirety. For better or for worse, data science is constantly evolving and growing. I don’t know a single person including myself, that could possibly know the whole field. Learning data science is a journey not a destination, and coming in with this mindset can make this process far more enjoyable for you. First, I would start with a learning map. You need to plan your learning journey. Next, I would start learning python. You need to understand the basics here. After that, I highly recommend looking at other peoples projects and work. Finally, focus on data science projects to engrain new topics! #DataScience #KenJee ⭕ Subscribe: 🤍 🎙 Listen to My Podcast: 🤍 🕸 Check out My Website - 🤍 ✍️Sign up for My Newsletter - 🤍 📚 Books and Products I use - 🤍 (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): 🤍 🌟 Interview Query - 🤍 MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - 🤍 👔 LinkedIn - 🤍 📈 Kaggle - 🤍 📑 Medium Articles - 🤍 💻 Github - 🤍 🏀 My Sports Blog -🤍 Check These Videos Out Next! My Leaderboard Project: 🤍 66 Days of Data: 🤍 How I Would Learn Data Science in 2021: 🤍 My Playlists Data Science Beginners: 🤍 Project From Scratch: 🤍 Kaggle Projects: 🤍

How to use Kaggle for beginners |How to use Kaggle for Data Science | How to use Kaggle

90526
1483
144
00:12:27
07.10.2020

How to use Kaggle for beginners |How to use Kaggle for Data Science | How to use Kaggle #HowTouseKaggle #KaggleForDataScience #UnfoldDataScience Hi, My name is Aman and I am a Data Scientist. About this video: In this video, I explain use of Kaggle and how to work with Kaggle. I also explain step by step process of using Kaggle for Data Science competition. I explain how kaggle notebook can be used and How we can use GPU with kaggle notebook I explain how we can use kaggle for data source and kaggle for job search as well. Learn how to use Kaggle. We discuss about Competitions, Discussions, Evaluation, Submissions, Kaggle Kernels and much more. Below topics are mentioned in this video: 1. How to use Kaggle? 2. How to use kaggle for beginners? 3. How to use kaggle notebook? 4. How to use kaggle for data science 5. How to use kaggle dataset in python About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well. Join Facebook group : 🤍 Follow on medium : 🤍 Follow on quora: 🤍 Follow on twitter : 🤍unfoldds Get connected on LinkedIn : 🤍 Follow on Instagram : unfolddatascience Watch Introduction to Data Science full playlist here : 🤍 Watch python for data science playlist here: 🤍 Watch statistics and mathematics playlist here : 🤍 Watch End to End Implementation of a simple machine learning model in Python here: 🤍 Learn Ensemble Model, Bagging and Boosting here: 🤍 Build Career in Data Science Playlist: 🤍 Artificial Neural Network and Deep Learning Playlist: 🤍 Natural langugae Processing playlist: 🤍 Understanding and building recommendation system: 🤍 Access all my codes here: 🤍 Have question for me? Ask me here : 🤍 My Music: 🤍

First hour with a Kaggle Challenge

126390
3316
329
00:50:20
21.03.2020

Neural Networks from Scratch: 🤍 Channel membership: 🤍 Discord: 🤍 Support the content: 🤍 Twitter: 🤍 Instagram: 🤍 Facebook: 🤍 Twitch: 🤍

Data Science Uncut - Data Shootout Kaggle Competition (Aug 1 2022 Stream)

7302
295
38
01:55:28
10.08.2022

In this Data Science Uncut we look at the Bundesliga Data Shootout kaggle competition. This is a rebroadcast of a twitch stream where we talk data science, machine learning and coding in python. Follow me on twitch for live coding streams: 🤍 My other videos: Speed Up Your Pandas Code: 🤍 Speed up Pandas Code: 🤍 Intro to Pandas video: 🤍 Exploratory Data Analysis Video: 🤍 Working with Audio data in Python: 🤍 Efficient Pandas Dataframes: 🤍 * Youtube: 🤍 * Twitch: 🤍 * Twitter: 🤍 * Kaggle: 🤍 #kaggle #python #livestream

Stop with the Kaggle Nonsense

1311
100
19
00:01:57
03.11.2022

We don't use Kaggle to make hiring decisions.

Kaggle vs Github - Which is Best for Your Data Science Portfolio?

12091
525
121
00:06:18
25.06.2021

In this video, I compare the kaggle and github for data science portfolios. Both are great platforms, but which is best for you? My video on Git: 🤍 My Kaggle Playlist: 🤍 My portfolio videos: 🤍 Tina's Portfolio Videos: 🤍 Kaggle and github are the two many ways that you can showcase your work as a data scientist or aspiring data scientist. You also constantly hear me blabbering about how valuable each of these platforms are. In this video, I will compare the two platforms to determine which is the best place for you to host your data science portfolio on. Kaggle is arguably the largest data science community out there. It started as a place where people could go to compete against each other in data science competitions. It still has these competitions, but now it has evolved into a one stop shop for data science learning, awesome datasets, and engaged forum. On Kaggle, you have a profile where you can earn rankings for sharing your work and placing well in competitions. Github, on the other hand, is more focused on function. Github is one of the hosting platforms for the versioning control system called git. Git allows you and your team to keep track of the changes in your code. This can be extremely valuable when you have multiple people working on a project. Git has also evolved into a place where you keep and maintain all of the code that you write. Many developers use their github profile & repositories as a living documentation for all they have done. Kaggle: + Simple Reward System + Great Community + Discoverability + Clear Focus on Data Science - Limited ways to share - limited in the skills you can showcase Github: +Shows you know GIT + Highlights Documentation + Illustrates More Diverse Skillset + More Flexibility -More difficult to use -Greater time commitment - Additional skills like git & markdown #DataScience #KenJee ⭕ Subscribe: 🤍 🎙 Listen to My Podcast: 🤍 🕸 Check out My Website - 🤍 ✍️Sign up for My Newsletter - 🤍 📚 Books and Products I use - 🤍 (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): 🤍 🌟 Interview Query - 🤍 MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - 🤍 👔 LinkedIn - 🤍 📈 Kaggle - 🤍 📑 Medium Articles - 🤍 💻 Github - 🤍 🏀 My Sports Blog -🤍 Check These Videos Out Next! My Leaderboard Project: 🤍 66 Days of Data: 🤍 How I Would Learn Data Science in 2021: 🤍 My Playlists Data Science Beginners: 🤍 Project From Scratch: 🤍 Kaggle Projects: 🤍

Data Science: Kaggle GRANDMASTER за полгода? | Павел Плесков, Data Nerds

91875
3225
229
00:36:09
10.08.2018

Подписывайтесь! 🤍 Начать заниматься data science в сентябре 2017, а к февралю 2018 стать экспертом науки о данных и получать офферы на Chief Data Scientist. Думал, такое не возможно, пока не познакомился с Пашей Плесковым из Data Nerds. Внимание: Видео может вызвать FOMO и отвесить пинка под зад. Скоро снова сентябрь =) Хотите повторить? Смотрите, как. Тайм-теги: 00:27 #1 Background 02:35 #2 Data science: с чего все началось? 04:45 #3 KAGGLE GRANDMASTER за 6 месяцев... как? 07:39 #4 Data science: много ли математики нужно на практике? 10:30 #5 Data science: немного о рабочем железе 13:47 #6 Соревнования. Командный опыт 17:42 #7 KAGGLE GRANDMASTER и работа 21:29 #8 Соревнования vs работа 23:19 #9 Чем занимаешься сейчас? 26:43 #10 В чем отличие DATA NERDS и DS в BIG3 28:49 #11 Почему бы не найти работу в США? 30:50 #12 Про планы? 32:31 #13 Пара советов? Другие недавние интервью: - КАК ПОПАСТЬ В БОЛЬШУЮ ТРОЙКУ В 35 ЛЕТ | БОРИС КУЛАХМЕТОВ - 🤍 - КАРЬЕРА НА СТЫКЕ DIGITAL И STRATEGY CONSULTING | АНАСТАСИЯ КИМ, IBM iX - 🤍 БУДЕМ НА СВЯЗИ! FLESS 🤍 Instagram 🤍 Facebook 🤍 VK 🤍 Telegram 🤍

Kaggle Project From Scratch - Part 1 (Data Science Profession Survey)

33066
1071
147
00:14:54
02.01.2021

In this 3 part series, I walk you through how I approach a data science project, specifically a kaggle competition. You will get to see me work through the kaggle developer survey kaggle competition from start to finish. In Part 1 I show you how I: - Join the competition - Read through the documentation - Understand the evaluation criteria - Download the data (good video on this: 🤍 - Review other people's kaggle kernels - Frame the questions that I want to ask of the data In Part 2 (🤍 I will use some different tools to visualize some of the data In Part 3 (🤍 I will seek to answer some of the questions that I have posed in Part 1 and Part 2 #DataScience #KenJee #66DaysOfData Kaggle API: 🤍 Notebooks Referenced: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 Relevant Videos: What is 66 days of data? 🤍 Project from scratch: 🤍 Titanic Kaggle Project: 🤍 0:00 Overview 2:00 How to Join a Competition 2:30 Understand Documentation 4:00 Start Looking at the Data 5:00 Download the Data 8:00 Looking Questions 10:12 Learning from other Kernels 12:30 Designing Questions For Next Steps #datascience #KenJee #projects ⭕ Subscribe: 🤍 🎙 Listen to My Podcast: 🤍 🕸 Check out My Website - 🤍 ✍️Sign up for My Newsletter - 🤍 📚 Books and Products I use - 🤍 (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): 🤍 🌟 Interview Query - 🤍 MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - 🤍 👔 LinkedIn - 🤍 📈 Kaggle - 🤍 📑 Medium Articles - 🤍 💻 Github - 🤍 🏀 My Sports Blog -🤍 My Playlists Data Science Beginners: 🤍 Project From Scratch: 🤍 Kaggle Projects: 🤍

Kaggle Competitions Beginner Walkthrough: Train a Machine Learning Model and Submit its Predictions!

2963
138
16
00:35:17
25.04.2022

My pathway playlist: 🤍 Roadmap to Become a Data Scientist / Machine Learning Engineer in 2022: 🤍 Roadmap to Become a Data Analyst in 2022: 🤍 Roadmap to Become a Data Engineer in 2022: 🤍 Here's my favourite resources: Best Courses for Analytics: - + IBM Data Science (Python): 🤍 + Google Analytics (R): 🤍 + SQL Basics: 🤍 Best Courses for Programming: - + Data Science in R: 🤍 + Python for Everybody: 🤍 + Data Structures & Algorithms: 🤍 Best Courses for Machine Learning: - + Math Prerequisites: 🤍 + Machine Learning: 🤍 + Deep Learning: 🤍 + ML Ops: 🤍 Best Courses for Statistics: - + Introduction to Statistics: 🤍 + Statistics with Python: 🤍 + Statistics with R: 🤍 Best Courses for Big Data: - + Google Cloud Data Engineering: 🤍 + AWS Data Science: 🤍 + Big Data Specialization: 🤍 More Courses: - + Tableau: 🤍 + Excel: 🤍 + Computer Vision: 🤍 + Natural Language Processing: 🤍 + IBM Dev Ops: 🤍 + IBM Full Stack Cloud: 🤍 + Object Oriented Programming (Java): 🤍 + TensorFlow Advanced Techniques: 🤍 + TensorFlow Data and Deployment: 🤍 + Generative Adversarial Networks / GANs (PyTorch): 🤍 Become a Member of the Channel! 🤍 Follow me on LinkedIn! 🤍 Full Disclosure: Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this!

How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree

95923
3007
139
00:23:04
31.07.2021

Tanul Singh is a mechanical engineer having no degree in data science or computer science. Yet after finishing his b tech he lands his first job in data science field. How did he do this? Well using Kaggle. In this video interview we will discuss some kaggle tips that you can use to make a successful career in data science. Tanul is working as a machine learning engineer in Javis and he will share some useful tips in this conversation. Tanul's linkedin: 🤍 Do you want to learn technology from me? Check 🤍 for my affordable video courses. 🌎 Website: 🤍 🎥 Codebasics Hindi channel: 🤍 #️⃣ Social Media #️⃣ 🔗 Discord: 🤍 📸 Instagram: 🤍 🔊 Facebook: 🤍 📱 Twitter: 🤍 📝 Linkedin (Personal): 🤍 📝 Linkedin (Codebasics): 🤍 ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

Kaggle メルカリコンペの優勝コードを眺める

22039
362
3
00:37:06
05.03.2018

2018年2月に終わったKaggle メルカリコンペの優勝コードを眺める動画です。 コードの解説は #18:00 ぐらいからなのでコンペ概要を知っている方は飛ばしてください。 何かありましたらTwitterまで 🤍tkm2261

تطبيق عملي: مجتمع علم البيانات وبناء سابقة الأعمال | Kaggle Data Science Community & Portfolio

7591
325
22
00:21:04
01.02.2022

لأي تفاصيل عن دوراتنا ولأي تساؤلات .. نتشرف بتواصلكم على واتس آب 🤍

My Journey: How I Became The World's First 4x (and 3x) Grand Master On Kaggle

65955
2257
174
00:24:50
29.02.2020

Since a lot of people have asked me about my journey to become the world's first 4x grand master (and also first 3x grand master) on Kaggle and since I am not into blogs, I decided to rather make a YouTube video about it. I hope you like it :) If you have any questions, feel free to ask me in comments. I try my best to reply/answer each comment that I receive. #Kaggle #GrandMaster #MachineLearning Follow me on: Twitter: 🤍 LinkedIn: 🤍 Kaggle: 🤍

Лучшее место для практики в data science - Kaggle: Что это и зачем он вам.

22148
1408
85
00:11:07
07.12.2020

В этом видео расскажу о таком сайте как kaggle. Что это, зачем он вам и как начать, все это вы узнаете в ролике. Это лучшее место для практики в data science. Еще парочка полезных видео о kaggle: Как побеждать на kaggle - 🤍 Путь на кагле от Андрея Лукьяненко - 🤍 Зачем участвовать в соревнованиях по Data Science? - 🤍 Как стать гранд мастером - 🤍 Мой профиль в kaggle - 🤍 Наш телеграмм канал: 🤍 , залетайте, там есть чатик, где можно обсудить вопросы. Подпишись на канал: 🤍 Таймкоды: 00:00 - Введение 00:24 - Что такое kaggle 00:52 - Почему kaggle: Плюсы и минусы 03:30 - Как стартовать на кагле 04:18 - Шаг 1 - Описание 05:44 - Шаг 2 - Метрика 06:42 - Шаг 3 - EDA и валидация 08:06 - Шаг 4 - Baseline 08:50 - Шаг 5 - Изучаем форум 09:33 - Шаг 6 - Эксперементируем 10:39 - Сколько занимает времени #datascience #datascienceguy #kaggle

Урок по Data Science разбор Kaggle для начинающих / AutoML LAMA / Optuna

14710
565
63
00:25:23
15.03.2022

Мое сообщество ВКонтакте 🤍 Telegram 🤍 Соревнования на Kaggle 🤍 Ссылка на репозиторий с кодом 🤍 Ссылка на данные 🤍 Таймкоды: 00:00 Разбор соревнования на Kaggle 00:28 Кратко о чем ролик - AutoML LAMA, подбор гиперпараметров при помощи Optuna 00:52 Обзор соревнования Kaggle - New York City Taxi Trip Duration 01:48 Импорт данных, какие еще внешние данные понадобятся и как их скачать 02:52 Смотрим на данные 03:38 EDA - Разведочный анализ данных 04:08 EDA. Анализ основных статистик, выбросы 06:07 Feature engineering, добавление новых признаков, трансформация текущих 08:33 Анализ распределения целевой переменной, логарифмирование 09:30 Анализ и удаление выбросов 10:49 EDA. Анализ признаков (длительность от часа, когда была начала поездка и т д), корреляция 12:12 Подготовка к обучению модели LightGBM 13:07 Построение целевой функции для Optuna для оптимизации гиперпараметров 15:04 Поиск оптимальных параметров при помощи Optuna, визуализация 16:43 Обучаем итоговую модель на подобранных параметрах, смотрим значение метрики RMSLE 17:43 AutoML LAMA с чего начинать / Создание задачи, ролей, структуры модели 20:03 Обучение при помощи AutoML LAMA / Подбор моделей / Анализ результатов 22:49 Feature importance у модели LightGBM and Optuna 23:40 Feature importance у AutoML LAMA 24:59 Сообщество PyMagic в ВКонтакте Группа в ВКонтакте 🤍 Telegram 🤍 #DataScience #Kaggle #ityoutubersru

How to Win Kaggle Competitions - Competition Master Advice

14540
536
20
00:18:18
20.11.2021

Firas is a Competition Master in Kaggle ( 🤍 ), talks about how to successfully participate in a Kaggle Competition and win it, and more AI discussions. Subscribe for More Videos! Follow me! 🤍instagram - 🤍 ——————————————— CONTENTS ——————————————— 00:00 INTRO 01:14 QUICK QUESTIONS 01:40 KAGGLE QUESTIONS 07:49 DATA ENGINEERING 08:50 OVERFITTING 10:24 DATA AUGMENTATION 11:28 DEEP LEARNING 12:43 REINFORCEMENT LEARNING 18:04 OUTRO #AI #kaggle #machinelearning #ML #howtowinkagglecompetition #howtowinkaggle #software #datascience #datascientist #developer

What is Kaggle? ؛کیگل کیا ہے ؟ | Kaggle in Urdu | Kaggle in Hindi | Kaggle projects

57921
2454
155
00:06:08
02.02.2021

What is Kaggle? ؛کیگل کیا ہے ؟ | Kaggle in Urdu | Kaggle in Hindi | Kaggle projects Book: 🤍 My Profile to Follow - 🤍 Here you start - 🤍 Share your thoughts in the comment section. If you love my work put an appreciation with your likes & shares because sharing is caring If you are a good reader you will love to read my blog Visit: 🤍 - Connect with me on Facebook: 🤍 Twitter: 🤍 Instagram: 🤍 LinkedIn: 🤍

Kaggle Competition Prep! - Exploratory data analysis with Pandas and Seaborn

11515
438
30
00:49:00
18.07.2022

Daily coding live stream, today working on: - Reviewing our dataset to get it ready for modelling Oh, and don't forget to connect with me! LinkedIn: 🤍 Facebook: 🤍 GitHub: 🤍 Patreon: 🤍 Join the Discussion on Discord: 🤍 Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand! #machinelearning #ai #python

شرح موقع kaggle

9721
238
11
00:12:02
21.06.2020

شرح مبسط وسريع لموقع kaggle

Kaggle Tutorial | Zeeshan Usmani

14920
684
92
00:13:37
06.02.2022

Exceptional leader in data sciences with 12+ years of experience in leading medium to large size teams across diverse geographic regions. I’ve managed budgets upwards of 150 million dollars and also able to be hands-on within data science, blockchain and artificial intelligence. Developed and groomed career paths for mid-to-senior level data scientists and technical managers. Actively seeking Director/VP/C-level positions for data analytics, products, strategy, governance, policy, applications and restricting misuse. Get My Appointment -🤍 Product Management Book - 🤍 AlNafi Career Advancement Track: 🤍 My Courses - 🤍 My Books - 🤍

How to do the Titanic Kaggle Competition

34258
950
55
00:18:28
11.02.2021

This video is for those who want to get started doing #kaggle. GitHub Repository: 🤍 ✅ Equipment I use and recommend: 🤍 ❤️ Become a Channel Member: 🤍 ✅ One-Time Donations: Paypal: 🤍 Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc ▶️ You Can Connect with me on: Twitter - 🤍 LinkedIn - 🤍 Github - 🤍 PyTorch Playlist: 🤍 👋 CONNECT WITH ME: Twitter ► 🤍 LinkedIn ► 🤍

Kaggle Tanıtımı 1

2043
43
00:14:31
28.03.2020

Yapay Zeka, Veri Bilimi, Makine Öğrenmesi, Derin Öğrenme ve Python kurslarından haberdar olmak ve indirimlerden faydalanmak için web sitemizi (🤍dataiteam.com) ziyaret edebilirsiniz. Datai Team Websitesi: 🤍 Datai Team Udemy: 🤍 Datai Team Linkedin: 🤍 Datai Team Kaggle: 🤍 Datai Team Github: 🤍

Разбор соревнования на Kaggle для Data Scientist / CatBoost

11254
446
68
00:19:33
12.07.2021

В видео разбираем соревнование на Kaggle: INGV - Volcanic Eruption Prediction, а точнее больше подход к предобработке данных с сенсоров. Также данный метод можно применять и при классификации временных рядов. 🤍 Группа в ВКонтакте 🤍 Telegram 🤍 #DataScience #Kaggle

Loading Kaggle data directly into Google Colab

6318
132
18
00:10:45
20.05.2022

Tips and Tricks 35 - Loading Kaggle data directly into Google Colab Code generated in the video can be downloaded from here: 🤍 My GitHub repo link: 🤍

Learn Data Science for Free with Kaggle Micro-Courses

13378
506
67
00:18:13
05.06.2020

In this video, I will show how you can learn data science for free with Kaggle Micro-Courses. 🌟 Buy me a coffee: 🤍 ⭕ Data Science curriculum contained in Kaggle Micro-Courses: 1. Python 2. Intro to Machine Learning 3. Intermediate Machine Learning 4. Data Visualization 5. Pandas 6. Feature Engineering 7. Deep Learning 8. Intro to SQL 9. Advanced SQL 10. Geospatial Analysis 11. Microchallenges 12. Machine Learning Explainability 13. Natural Language Processing 14. Intro to Game AI and Reinforcement Learning ⭕ Playlist: Check out our other videos in the following playlists. ✅ Data Science 101: 🤍 ✅ Data Science YouTuber Podcast: 🤍 ✅ Data Science Virtual Internship: 🤍 ✅ Bioinformatics: 🤍 ✅ Data Science Toolbox: 🤍 ✅ Streamlit (Web App in Python): 🤍 ✅ Shiny (Web App in R): 🤍 ✅ Google Colab Tips and Tricks: 🤍 ✅ Pandas Tips and Tricks: 🤍 ✅ Python Data Science Project: 🤍 ✅ R Data Science Project: 🤍 ⭕ Subscribe: If you're new here, it would mean the world to me if you would consider subscribing to this channel. ✅ Subscribe: 🤍 ⭕ Recommended Tools: Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it! ✅ Check out Kite: 🤍 ⭕ Recommended Books: ✅ Hands-On Machine Learning with Scikit-Learn : 🤍 ✅ Data Science from Scratch : 🤍 ✅ Python Data Science Handbook : 🤍 ✅ R for Data Science : 🤍 ✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: 🤍 ✅ AI Superpowers: China, Silicon Valley, and the New World Order: 🤍 ⭕ Stock photos, graphics and videos used on this channel: ✅ 🤍 ⭕ Follow us: ✅ Medium: 🤍 ✅ FaceBook: 🤍 ✅ Website: 🤍 (Under construction) ✅ Twitter: 🤍 ✅ Instagram: 🤍 ✅ LinkedIn: 🤍 ✅ GitHub 1: 🤍 ✅ GitHub 2: 🤍 ⭕ Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #dataprofessor #datascience #kaggle #kagglecourses #kagglemicrocourses #freedatascience #machinelearning #dataprofessor #bigdata #machinelearning #datascienceproject #randomforest #decisiontree #svm #neuralnet #neuralnetwork #supportvectormachine #python #learnpython #pythonprogramming #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #machinelearningmodel

Назад
Что ищут прямо сейчас на
kaggle Домашнее пиво андроид ошибка Warrior на русском samsung s22 case Orac Decor FRANKIE RUIZ 色弱 rode microfones nadakam моделирование и реализация будущего local kerala news Mekkah hari ini S.P.Balasumbramnym fan club saengchan Saurabh Polski как живет криштиану роналду hydra clan boss