Machine Learning Foundation course offers contents for those who wish to learn Machine Learning foundations.
Topics in Machine Learning
| Topic | Subtopic |
|---|---|
| Statistical Inference | Probability Distribution, Outlier Detection |
| Corrleation Analysis | |
| Hypothesis Testing | |
| Exploratory Data Analysis | Univariate and Bivariate Analysis |
| Dealing with Missing Values | |
| Regression | Regression Overview |
| Linear Regression | |
| ML Pipeline | |
| K-Nearest Neighbor | |
| Hyper-parameter Tuning | |
| Model Deployment | |
| Classification | Logistic Regression |
| Model Evaluation | |
| Decision Trees | |
| Underfitting Vs. Overfitting |