Weekly Course Contents and Study Materials for Preliminary & Further Study |
Week |
Topics (Subjects) |
Preparatory & Further Activities |
1 |
Data preparation in Python, Python library and datasets.Handling Incomplete Data, Coding Categorical Data, Dividing the dataset into Training set and Test set, Feature Scaling |
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2 |
Data preparedness with R. Data Set Description, Importing the Data Set, Handling Missing Data, Encoding Categorical Data, Dividing the Data set into a Training set and a Test set, Feature Scaling, Data Preprocessing Template |
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3 |
Simple Linear Regression Intuition - Step 1
The mathematics behind Simple Linear Regression. |
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4 |
Simple Linear Regression Intuition - Step 2
To Decipher the linear relationship between the independent variable and the dependent variable, to find the most appropriate line by the Ordinary Least Squares method. |
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5 |
Simple Linear Regression in Python |
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6 |
Simple Linear Regression in R |
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7 |
Multiple Linear Regression |
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8 |
Midterm Exam |
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9 |
Polynomial Regression with Python |
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10 |
Polynomial Regression with R |
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11 |
Support Vector Regression with Python |
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12 |
Support Vector Regression with R |
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13 |
Decision Tree Decision Regression Intuition with Python |
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14 |
Decision Tree Decision Regression Intuition with Python in R |
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