01. Introduction To Data Science
02. Introduction to Python
03. Conditionals and Loops
06. Strings, List & 2D List
08. Tuples, Dictionary And Sets
09. Object Oriented Programming Systems(OOPs)
14. Structured Query Language(SQL) - Basic
15. Structured Query Language(SQL) - Advance
17. Application Programming Interfaces(APIs) - I
18. Application Programming Interfaces(APIs) - II
19. Web Scraping - BeautifulSoup
20. Web Scraping - Selenium
21. Web Scraping - Advanced Selenium
23. Descriptive Statistics
24. Introduction to Inferential Statistics
25. Inferential Statistics : Hypothesis Testing
26. Introduction to Machine Learning
28. MultiVariable Regression And Gradient Descent
31. Classification Measures
36. K-Nearest Neighbours(K-NN)
37. Support Vector Machine(SVM)
38. Principal Component Analysis(PCA) - I
39. Principal Component Analysis(PCA) - II
40. Natural Language Processing(NLP)
44. Convolutional Neural Network(CNN) - I
45. Convolutional Neural Network(CNN) - II
46. Recurrent Neural Network(RNN)
47. Long Short-Term Memory(LSTM)
48. Unsupervised Learning - I
49. Unsupervised Learning - II
50. Introduction to Data Visualization
51. Getting Familiar with Tableau
52. Tableau Visualizations
Project : Case Study (Part - I)
Project : Decision Tree Implementation
Project : Gradient Descent
Project : Logistic Regression
Project : Text Classification
Project : Zomato API - II
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