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: https://www.kaggle.com/kenjee/titanic-project-example
My Kaggle Profile: https://www.kaggle.com/kenjee
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
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Check These Videos Out Next!
My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee
How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee
My Playlists
Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO