Planning to start a Machine Learning and Deep Learning series, 1-2 posts every week.

Some of the topics I plan on covering are -

1. Why learn it?
2. Curated list of the best resources.
3. Basic installations.
4. Numpy and pandas basics.
5. Matplotlib and Seaborn basics.
6. Data Modelling.
7. Linear Regression.
8. Classification algorithms.
9. Clustering algorithms.
10. Model evaluation.
11. Bias and Variance.

Let me know if you want me to cover some specific topics!