Machine Learning

Following repo consists of Machine learning related things I do and new topics I learn. (Almost daily now)

This repo will keep updating as I learn new things.

For now, following models/Topics are here numbered in the order I learned them.

1. KNNClassifier.

2. Machine Learning Projects.

3. Decision Trees.

4. Exploratory Data Analysis.

5. Principal Component Analysis.

6. Feature Engineering.

7. Kaggle Related Things.

8. Sklearn Features.

9. Logistic Regression.

10. Regularization.

11. Accuracy Evaluation.

12. Ensemble Learning.

13. Clustering.

14. Gradient Descent.

15. Perceptron.

16. Natural Language Processing.

Authors

@astrovishalthakur

Feedback

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