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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
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2 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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3 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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4 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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5 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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6 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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7 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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8 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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9 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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10 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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11 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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12 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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13 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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14 Operators Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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15 Lists Part- 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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16 List Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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17 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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18 Operators Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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19 Lists Part- 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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20 List Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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21 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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22 Operators Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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23 Lists Part- 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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24 List Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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25 Tuples Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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26 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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27 Tuples Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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28 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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29 Tuples Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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30 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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31 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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32 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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33 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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34 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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35 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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36 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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37 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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38 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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39 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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40 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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41 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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42 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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43 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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44 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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45 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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46 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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47 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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48 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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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
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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
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54 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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55 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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56 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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57 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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58 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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59 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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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
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63 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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64 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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65 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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66 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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67 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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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
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77 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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78 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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79 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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80 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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81 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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82 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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83 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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84 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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85 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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86 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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87 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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88 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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89 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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90 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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91 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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92 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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93 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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94 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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95 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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96 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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97 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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98 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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99 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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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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108 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Sunday
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109 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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110 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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111 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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112 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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113 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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114 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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115 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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116 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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117 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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118 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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119 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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120 Introduction to Python for Data Science Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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121 Introduction to Python Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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122 Introduction to Spyder - Part 1 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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123 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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124 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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125 Operators Prof. Ragunathan Rengasamy , IIT MADRAS
Saturday
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126 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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127 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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128 Operators Prof. Ragunathan Rengasamy , IIT MADRAS
Monday
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129 Introduction to Spyder - Part 2 Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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130 Variables and Datatypes Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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131 Operators Prof. Ragunathan Rengasamy , IIT MADRAS
Tuesday
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132 Sequence_data_part_1 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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133 Sequence_data_part_2 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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134 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS
Wednesday
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135 Sequence_data_part_1 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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136 Sequence_data_part_2 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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137 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS
Thursday
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138 Sequence_data_part_1 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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139 Sequence_data_part_2 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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140 Sequence data part 3 Prof. Ragunathan Rengasamy , IIT MADRAS
Friday
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141 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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142 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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143 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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144 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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145 Sequence_data_part_4 Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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146 Numpy Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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147 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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148 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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149 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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150 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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151 Reading Data Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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152 Pandas Dataframes Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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153 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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154 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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155 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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156 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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157 Pandas Dataframes Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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158 Pandas Dataframes Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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159 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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160 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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161 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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162 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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163 Control Structures & Functions Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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164 Exploratory data analysis Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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165 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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166 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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167 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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168 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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169 Data Visualization- Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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170 Data Visualization- Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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171 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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172 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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173 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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174 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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175 Dealing with missing data Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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176 Introduction to classfication case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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177 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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178 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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179 Case Study- Classification Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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180 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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181 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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182 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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183 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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184 Case Study- Classification Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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185 Introduction to regression case study Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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186 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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187 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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188 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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189 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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190 Case study on regression Part I Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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191 Case study on regression Part II Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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192 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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193 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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194 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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195 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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196 Case study on regression Part III Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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197 Predictive Modelling Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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198 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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199 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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200 Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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201 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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202 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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203 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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204 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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205 Model assessment Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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206 Diagnostics to improve linear model fit Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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207 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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208 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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209 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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210 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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211 Cross Validation Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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212 Classification Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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213 Logistic Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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214 Nearest Nighbors (knn) Prof. Ragunathan Rengasamy , IIT MADRAS -
Wednesday
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215 Logistic Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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216 Nearest Nighbors (knn) Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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217 Logistic Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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218 Nearest Nighbors (knn) Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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219 K means Clustering Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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220 Logistic Regression (Continued) Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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221 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Thursday
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222 Decision Trees Prof. Ragunathan Rengasamy , IIT MADRAS -
Friday
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223 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Saturday
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224 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Monday
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225 Multiple Linear Regression Prof. Ragunathan Rengasamy , IIT MADRAS -
Tuesday
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