Course description
What will i learn?
Requirements
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3.1 Introduction to Pandas Package
00:04:58
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3.2 Series in Pandas
00:12:50
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3.3 Data Frame in Pandas Part-01
00:07:09
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3.4 Data Frame in Pandas Part-02
00:09:35
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3.5 File Reading in Pandas Part-01
00:04:58
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3.6 File Reading in Pandas Part-02
00:07:28
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3.7 File Reading in Pandas Part-03
00:07:08
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3.8 File Reading in Pandas Part-04
00:04:31
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3.9 Data Munging with Pandas Part-01
00:10:22
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3.10 Data Munging with Pandas Part-02
00:06:36
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3.11 Data Munging with Pandas Part-03
00:08:15
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3.12 Data Munging with Pandas Part-04
00:13:47
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3.13 Imputation and Outlier Analysis Part-01
00:13:52
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3.14 Imputation and Outlier Analysis Part-02
00:12:50
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Quiz
0:00:00
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7.1 Introduction to Logistic Regression
00:08:10
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7.2 How it Works Classification & Sigmoid Curve
00:10:33
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7.3 Modeling and Evaluation in Python-01
00:10:08
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7.4 Modeling and Evaluation in Python-02
00:08:53
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7.5 Modeling and Evaluation in Python-03
00:09:54
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7.6 Modeling and Evaluation in Python-04
00:08:16
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7.7 Modeling and Evaluation in Python-05
00:09:51
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7.8 Modeling and Evaluation in Python-06
00:07:34
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7.9 Modeling and Evaluation in Python-07
00:07:33
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Quiz
0:00:00
Ashok Veda
₹16900
₹21000
Lectures
53
Quizzes
7
Skill level
Beginner
Expiry period
Lifetime
