└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # DISCLAIMER 2 | Kaggler TV is not affiliated with Kaggle Inc. 3 | 4 | # Kaggler TV 5 | Made by Kagglers, for Kagglers. 6 | 7 | [Kaggler TV](https://www.youtube.com/channel/UCI8Y-po83Y4LLnIdAe_cmNA/) is a YouTube Channel that shares about machine learning competitions and data science career development. 8 | 9 | This repository is to share channel's video release schedule and receive feedbacks from users. 10 | 11 | To request a content, please create an issue and describe what you'd like to watch and learn. 12 | 13 | # SCHEDULE 14 | 15 | ## Introduction 16 | - [x] [Kaggler TV Intro](https://www.youtube.com/playlist?list=PLFXBBYbamrKk7eo3fzeKnV_RQqx9bYYx5) on 1/18/2020 17 | 18 | ## Competition 19 | - [x] [Introduction to Machine Learning Competitions](https://youtu.be/at9NHytskzc) on 1/19/2020 20 | - [x] [How to Start a Kaggle Competition](https://youtu.be/WOsXjjSuefU) on 1/26/2020 - requested by Biswajit G. and Aditya V. S. 21 | - [x] [How to Become a Competition Master at Kaggle](https://youtu.be/G2ZeYWRruKc) on 2/2/2020 - requested by [@kurianbenoy](https://github.com/kurianbenoy) 22 | - [x] [Kaggle Competition Pipeline Demo](https://youtu.be/861NAO5-XJo) on 2/9/2020 - requested by [@pulkitmehtawork](https://github.com/pulkitmehtawork) 23 | - [x] [How to Manage Kaggle Competition - Code & Tasks](https://youtu.be/HqhG7T9UL88) on 2/16/2020 - requested by [@kgilpas](https://github.com/kgilpas) 24 | - [x] [How to Manage Kaggle Competition - Files](https://youtu.be/Dk1dznYe5kA) on 2/23/2020 - requested by [@kgilpas](https://github.com/kgilpas) and Naoto 25 | - [x] [Tips for Winning Medals at Vision Competitions #1 - Cutmix at BengaliAI](https://youtu.be/NYPjruSyD9I) on 4/3/2020 by [Youhan Lee](https://www.kaggle.com/youhanlee) 26 | - [ ] How to Improve Models When You Hit the Wall - requested by [@init27](https://github.com/init27) and Aditya V. S. 27 | - [ ] Winning Solution Architectures - requested by Dimitrios B. 28 | - [ ] Data Leaks in Machine Learning Competitions (TBD) 29 | 30 | ## Skills for Data Scientists 31 | - [x] [Command Line Tools for DS #1 - tmux](https://youtu.be/-hDuDf_NL1c) on 3/1/2020 32 | - [ ] How to Debug Python Code (TBD) 33 | - [ ] How to Profile Python Code (TBD) 34 | 35 | ## Data Science Career Development 36 | - [x] [Starting a Data Science Career - Challenges and Strategies](https://youtu.be/r5WBnAw8B4E) on 3/8/2020 37 | - [ ] Career Tracks for Data Scientists (TBD) 38 | 39 | # INFORMATION 40 | * [Kaggler Blog](https://kaggler.com) 41 | * [Kaggler TV Twitter](https://twitter.com/kagglertv) 42 | * [Kaggler Facebook Page](https://www.facebook.com/Kaggler/) 43 | * [Kaggler TV Youtube Channel](https://www.youtube.com/c/KagglerTV) 44 | * [Kaggler Python Package](https://github.com/jeongyoonlee/Kaggler) 45 | 46 | # OTHER RESOURCES 47 | 48 | ## KAGGLE/DS YOUTUBE CHANNELS 49 | * [Kaggle's Official Channel](https://www.youtube.com/channel/UCSNeZleDn9c74yQc-EKnVTA) 50 | * [Chai Time Data Science](https://www.youtube.com/channel/UCRjtBP-o5FbgRzX2BHQEFtQ) by [Sanyam Bhutani](https://www.kaggle.com/init27) 51 | * [Abhishek Thakur's Channel](https://www.youtube.com/channel/UCBPRJjIWfyNG4X-CRbnv78A) 52 | 53 | ## KAGGLE/DS COURSES 54 | * [How to Win a Data Science Competition](https://coursera.org/learn/competitive-data-science) at Coursera 55 | --------------------------------------------------------------------------------