Section 01: Linear Regression and Logistic Regression | |||
Working on Linear Regression | 00:16:00 | ||
Equation | 00:12:00 | ||
Making the Regression of the Algorithm | 00:06:00 | ||
Basic Types of Algorithms | 00:13:00 | ||
predicting the Salary of the Employee | 00:16:00 | ||
Making of Simple Linear Regression Model | 00:08:00 | ||
Plotting Training Set and Work | 00:17:00 | ||
Section 02: Understanding Dataset | |||
Multiple Linear Regression | 00:13:00 | ||
Dummy Variable Concept | 00:07:00 | ||
Predictions Over Year | 00:10:00 | ||
Difference Between Reference Elimination | 00:10:00 | ||
Working of the Model | 00:13:00 | ||
Working on Another Dataset | 00:14:00 | ||
Backward Elimination Approach | 00:16:00 | ||
Making of the Model with Full and Null | 00:12:00 | ||
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