prudhvignv / internship-work---ml-and-dl-intern-at-smartbridge Goto Github PK

It consists of following segments :
00. Exploratory Data Analysis and visualization

1. Handling missing values
2. Working with outliers
3. Linear regression
4. Polynomial regression
5. Classification
6. Decision tree, random forest
7. Supervised classification
8. Clustering
9. K-means clustering
10. Flask deployment
11. ANN
12. CNN
13. ANN startups project
14. NLP

The datasets here are small and manually prepared and targeted only for learning and experimenting purpose.

Feel free to download and fork this repo. Happy learning :)