Python: Just Quick References

Python: Just Quick References And Somewhat Updates (Maybe For At Least Every Monday)...

TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Seaborn, BeautifulSoup, Scrapy, Plotly, Theano, OpenCV, Flask, Pygame

1. Linear Regression
2. Logistic Regression
3. K-nearest neighbors
4. Decision Trees
5. Random Forest
6. Gradient Boosting
7. Support Vector Machines
8. Naive Bayes
9. K-means Clustering
10. Hierarchical Clustering
11. Association rule learning
12. Apriori algorithm
13. Principal component analysis
14. Independent component analysis
15. Singular value decomposition
16. Convolutional Neural Networks
17. Recurrent Neural Networks
18. Long short-term memory networks
19. Gated Recurrent Units
20. Autoencoders
21. Generative Adversarial Networks
22. Deep Belief Networks
23. Extreme Gradient Boosting
24. AdaBoost
25. Gaussian Mixture Models
26. Multilayer Perceptron
27. Optimized subset regression
28. Time series forecasting (ARIMA, SARIMA)
29. Hidden Markov Models
30. Locally weighted regression
31. Reinforcement Learning
32. Monte Carlo Tree Search
33. Evolutionary Algorithms
34. Particle Swarm Optimization
35. Artificial Bee Colony Algorithm
36. Ant Colony Optimization
37. Genetic Algorithms
38. Differential Evolution
39. Simulated Annealing
40. Tabu Search
41. Hill Climbing
42. Newton's Method
43. Levenberg-Marquardt Algorithm
44. Newton-Raphson Method
45. Bayesian Optimization
46. Direct Search
47. Boundary Optimization
48. Simplex Method
49. Quadratic Programming
50. Markov Chain Monte Carlo