Explore "The Data Science Sandwich."

Dive into the layers of data science with Rocky Bhatia's comprehensive guide:

1. Mathematics
2. Linear Algebra
3. Analytic Geometry
4. Matrix Vector Calculus
5. Optimization Regression
6. Dimensionality Reduction
7. Density Estimation

8. Classification Probability Statistics

9. Programming

10. Python SQL

11. Database (MySQL, MongoDB)

12. Data Structure

13. Web Scraping

14. Linux GIT

15. Machine Learning

16. Introduction

17. Model Mechanics

18. Basic Data Exploration

19. First ML Model

20. Model Validation

21. Underfitting & Overfitting

22. Random Forests (Python | R)

23. scikit-learn Intermediate

24. Handling Missing Values

25. Handling Categorical Variables

26. Pipelines

27. Cross-Validation (R)

28. XGBoost (Python | R)

29. Data Leakage

30. Deep Learning

31. Artificial Neural Network

32. Convolutional Neural Network

33. Recurrent Neural Network

34. TensorFlow

35. Keras

36. PyTorch

37. Single Neuron Deep Neural Network

38. SGD, Overfitting, Underfitting

39. Dropout, Batch Normalization

40. Binary Classification

41. Feature Engineering

42. Baseline Model

43. Categorical Encodings

44. Feature Generation

45. Feature Selection

46. Natural Language Processing

47. Text Classification

48. Word Vectors

49. Data Visualization Tools

50. Excel VBA BI (Business Intelligence)

    • Tableau
    • Power BI
    • Qlik View
    • Qlik Sense

51. Deployment

52. Microsoft Azure

53. Heroku

54. Google Cloud Platform

55. Flask DJango

56. DataBricks

57. Other Points

58. Domain Knowledge

59. Communication Skill

60. Reinforcement Learning

61. Case Studies (Netflix, Flipkart, Credit Card Fraud Detection, Movie Recommendation, etc.)

62. Keep Practicing
    "Practice makes a man perfect." Save for later and stay tuned for more insights!

Connect with me (https://lnkd.in/gAjyNpEy)