Learning Path
01. Knn Classifier / Supervised-ml02. Linear-regression / Supervised-ml
03. Subplots / Matplotlib
04. Pyplot / Matplotlib
05. Gradient-descent / Algorithms
06. Derivatives / Calculus
07. Iris-species / Datasets
08. Linear-regression / Algorithms
09. K-nearest-neighbors / Algorithms
10. Integrals / Calculus
11. Basis-expansion / Supervised-ml
12. Regularization / Supervised-ml
13. Diabetes / Datasets
14. Breast-cancer / Datasets
15. Matrices / Numpy
16. Operations / Numpy
17. Standard-deviation / Numpy
18. Multiplication / Numpy
19. Read-data / Pandas
20. Data-cleaning / Pandas
21. Find-values / Pandas
22. Group-rows / Pandas
23. Merge / Pandas
24. Simulated-data / Datasets
25. Tmdb / Datasets
26. Decision-tree / Algorithms
27. Decision-tree / Supervised-ml
28. Random-forest / Supervised-ml
29. Logistic-regression / Supervised-ml
