README.md

Workshop on Machine Learning

This is the repository for the Machine Learning workshop organized by the MALTO (MAchine Learning @ Polito) team at the Politecnico di Torino.

Part I - Data Exploration and Preprocessing

• Introduction
• Dataset Loading
• Dataset Overview
• Data Quality
• Descriptive Statistics
• Basic Data Visualization
• Exploring Feature Relationships
• Handling Missing Values
• Feature Engineering
• EXTRA EXERCISE: Unupervised Exploration: PCA and t-SNE

The labs of Part I have been curated by Andrea Lolli, Samet Basarat, and Claudio Savelli.

PART II - Classification

• Introduction
• Setup
• Training Different Models
  • Logistic Regression
  • K-Nearest Neighbors
  • Decision Tree
  • Random Forest
  • Support Vector Classifier
  • Naive Bayes
• Model Evaluation
  • Confusion Matrix
  • Accuracy, Precision, Recall, F1 Score
  • ROC Curve and AUC
• Hyperparameter Tuning
• Cross-Validation

The labs of Part II have been curated by Ayberk Munis, and Claudio Savelli.

PART III - Regression

• Introduction
  • Regression vs Classification
  • Evaluation Metrics
• Loading and Inspection the Dataset
• Train/Validation/Test Split
• Feature Scaling
• Training Different Models and Error Evaluation
  • Linear Regression
  • Polynomial Regression
  • Ridge Regression
  • Lasso Regression
  • Decision Tree Regressor
  • Random Forest Regressor
  • Support Vector Regressor
• Error Analysis

The labs of Part III have been curated by Tommaso Mazzarini, Arman, and Claudio Savelli.

PART IV - Clustering

• Introduction
  • Supervised Learning VS Unsupervised Learning
• Loading and preparing the Data
  • Initial feature visualization and distribution
    • Histogram
    • Pairplot
    • Importance of Feature Scaling
• Exploring the Data Structure
  • PCA (Principal Component Analysis)
  • t-SNE (t-Distributed Stochastic Neighbor Embedding)
• Clustering Algorithms
  • K-means
  • DBSCAN
  • Hierarchical Clustering
• How to evaluate Clustering performance
  • Elbow Method
  • Silhouette Score
  • Rand Index
  • Adjusted Rand Index
  • Davies-Bouldin Index

The labs of Part IV have been curated by Niccolò Malgeri, Emanuele and Claudio Savelli.