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Channel: 13

Computer / IT & related branches
Subject / Branch : Computer science || Course : Python for Data Science
No. Topic Faculty Name Time/Date/Video Day QR Code
1 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
2 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
3 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
4 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
5 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
6 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
7 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
8 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
9 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
10 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
11 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
12 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
13 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
14 Operators Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
15 Lists Part- 1 Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
16 List Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
17 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
18 Operators Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
19 Lists Part- 1 Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
20 List Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
21 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
22 Operators Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
23 Lists Part- 1 Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
24 List Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
25 Tuples Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
26 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
27 Tuples Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
28 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
29 Tuples Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
30 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
31 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
32 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
33 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
34 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
35 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
36 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
37 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
38 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
39 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
40 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
41 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
42 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
43 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
44 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
45 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
46 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
47 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
48 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
49 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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50 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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51 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
52 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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53 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
54 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
55 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
56 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
57 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
58 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
59 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
60 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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61 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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62 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
63 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
64 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
65 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
66 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
67 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
68 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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69 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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70 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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71 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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72 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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73 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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74 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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75 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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76 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
77 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
78 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
79 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
80 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
81 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
82 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
83 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
84 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
85 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
86 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
87 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
88 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
89 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
90 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
-
91 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
92 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
-
93 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
94 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
-
95 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
96 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
-
97 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
-
98 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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99 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-
100 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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101 Logistic Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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102 Nearest Nighbors (knn) Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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103 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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104 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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105 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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106 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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107 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
-

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