- Data Preprocessing
- Linear Regression
- Multiple Regression
- Polynomial Regression
- Support Vector Regression
- Decision Tree Regression
- Random Forest Regression
- Regression Evaluation Metrics
- R square vs Adjusted R square
- KNN for classification
- Support Vector Machine
- Linear SVM vs Non-linear SVM
- Naive Bayes Classifier
- Decision Tree Classifier
- Ensemble Learning (Bagging Vs Boosting Vs Stacking)
- Undercutting and Overfitting
- Random Forest Classifier
- Confusion Metrics, F1 score
- K Means Clustering
- Agglomerative Hierarchical Clustering
- Divisive Hierarchical Clustering
- Density Based Clustering
- Hard Clustering vs Soft Clustering
- Association Rule, Apriori Algorithm
- Eclat Association Rule
- FP Growth Algorithm
- Markov Decision Process
- Hidden Markov Process
- Bellmann Equation
- Q learning and SARSA
- Multi armed bandit algorithm using upper confidence bound
- Thompson sampling
- Dimensionality Reduction, PCA
- Dimensionality Reduction, LDA
- Non-linear Dimensionality Reduction, Kernel PCA
- Cross Validation
- Grid Search with K-Fold CV
- XGBoost
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|