Machine Learning Using Python
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.
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1.Introduction to the Course
2.Human learning and it's types
3.Machine learning and it's types
4.Process of Machine Learning
5.Well-posed learning problem
6.Applications of machine learning
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7.Basic data types
8.Data exploration
9.Data exploration (continued)
10.Data issues and remediation
11.Issues in machine learning
QUESTION BOOKLET_AIML_Week1_QUIZ
ANSWER BOOKLET_AIML_WEEK1_QUIZ
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12.Getting started with Python
13.Basic Python commands
14.Basic Python commands (continued)
15.Functions
16.Operators
17.Conditional (IF) Statement
18.FOR Loops
19.WHILE Loops
20.Libraries - os, numpy, pandas, matplotlib
21.numpy
22.pandas
23.Data exploration using matplotlib
24.Data issues and remediation
QUESTION BOOKLET_AIML_Week2_QUIZ
ANSWER BOOKLET_AIML_WEEK2_QUIZ
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25.What is a model
26.Selecting a model
27. Training model - Holdout Method
28. Training model - k-fold cross-validation
29. Training model - bootstrap sampling
30. Model representation and interpretability - under-fitting, over-fitting
31. Model performance evaluation - Classification
32. Model performance evaluation - Regression
33. Model performance evaluation - Clustering
34. Model performance tuning
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35. Basics of feature engineering
36. Feature Construction
37. Feature extraction
38. Feature selection 1
39. Feature selection 2
40. Feature selection 3
QUESTION BOOKLET _AIML_Week3_QUIZ
ANSWER BOOKLET_AIML_Week3_QUIZ
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41. Classification algorithm - KNN 1
42. Classification algorithm - KNN 2
43. Classification algorithm - KNN 3
44. Classification algorithm - KNN 4
45. Classification algorithm - KNN 5
46. Classification algorithm - Decision Tree 1
47. Classification algorithm - Decision Tree 2
48. Classification algorithm - Decision Tree 3
49. Classification algorithm - Decision Tree 4
50. Classification algorithm - Decision Tree 5
51. Regression
52. Unsupervised Learning - I
53. Unsupervised Learning - II
54. KMeans
55. Association Analysis
QUESTION BOOKLET_AIML_Week4_QUIZ
ANSWER BOOKLET_AIML_Week4_QUIZ