60 Days of Data Science and Machine Learning

Hello, everyone.

Following are third week of this series. You can find them on my github repository. You can run all the notebook on colab or jupyter as well.

• Day 15 - Repression Part2

  Topic : Support Vector Regression, Decision Tree Regression and Random Forest Regression

• Day 17 - Kaggle's Annual Machine Learning and Data Science Survey Part1

  Topic : Data Cleaning, Preprocessing, EDA and etc

• Day 18 - DecisionTreeRegressor and RandomForestRegressor

  Topic : Implement Regressor with Decision Tree and Random Forest

• Day 19 - Kaggle's Annual Machine Learning and Data Science Survey Part2

  Topic : Data Cleaning, Preprocessing, EDA and etc

• Day 20 - Detailed Crypto Analysis

  Topic : Basic intuition to buid model to predict

• Day 21 - Detailed Analysis of the Netflix Content

  Topic : Detailed analysis of the Netflix Content

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://github.com/levintech
https://dev.to/levintech
Best Regards.

Comments

[Ahmed Radwan]

Great work

[Levin]

thanks