Work on iris dataset for classification using Linear Discriminant Analysis. In this project :
- Data Visualization (pairplot, TSNE)
- Calculation of the LDA manually
- Comparison with sklearn LDA
- Training phases with train_test_split or K-fold and comparison with f1_score
- Display of decision boundaries
Work on house price dataset to estimate the price of an house according to its description.
- Data visualization, Preprocessing and Data Cleaning
- Single Linear Regression
- Multiple Linear Regression
- Ridge Regression (L2 Regularization)
- Lasso Regression (L1 Regularization)
Work on classical CNNs on MNIST and CIFAR10
- Data Preprocessing and Visualization
- Build and Training of CNNs
- Feature Extraction
- Comparison to trees
Work on Linear Gaussian Model (state space model) to apply Kalman Filter :
- Mathematical Background
- Simulation of the state space model
- Application of a Kalman Filter
- Exploration with different initial parameters