Section 1 : Complete machine learning series
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Lecture 1 | INTRODUCTION | 00:07:00 Duration |
Section 2 : HOW MACHINE LEARNS
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Lecture 1 | HOW MACHINE LEARNS | 00:06:45 Duration |
Section 3 : INSTALLATION OF LAB
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Lecture 1 | INSTALLATION OF LAB | 00:02:40 Duration |
Section 4 : INTRODUCTION TO PANDAS
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Lecture 1 | PANDAS |
Section 5 : DATA VISUALIZATION
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Lecture 1 | DATA VISUALIZATION | 00:12:48 Duration |
Section 6 : DATA PRE-PROCESSING
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Lecture 1 | Data Pre-Processing theory | 00:03:30 Duration |
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Lecture 2 | Data Pre-Processing code |
Section 7 : LINEAR REGRESSION
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Lecture 1 | Linear Regression theory | |
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Lecture 2 | Linear Regression code | 00:05:58 Duration |
Section 8 : LOGISTIC REGRESSION
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Lecture 1 | Logistic Regression theory | 00:00:31 Duration |
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Lecture 2 | Logistic Regression code | 00:08:25 Duration |
Section 9 : KNN Algorithm
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Lecture 1 | KNN THEORY | 00:03:18 Duration |
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Lecture 2 | KNN CODE | 00:07:25 Duration |
Section 10 : DECISION TREE
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Lecture 1 | DECISION TREE THEORY | 00:03:14 Duration |
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Lecture 2 | DECISION TREE CODE | 00:04:08 Duration |
Section 11 : NAIVE BAYES
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Lecture 1 | NAIVE BAYES THEORY | |
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Lecture 2 | NAIVE BAYES CODE | 00:03:04 Duration |
Section 12 : RANDOM FOREST
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Lecture 1 | RANDOM FOREST THEORY | 00:01:39 Duration |
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Lecture 2 | RANDOM FOREST CODE | 00:03:33 Duration |
Section 13 : PROJECT
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Lecture 1 | Project |
