Machine_Learning_Sklearn

Repository to showcase general use of machine learning algorithms and processes, content is generated as part of assessed coursework for MSc.

Portfolio1-Supervised Learning

• Regression
• MLP & Hidden node count
• Handling Overfitting
• Graded: 100/100

Portfolio2-Unsupervised Learning

• KMeans
• GMM
• Finding appropriate cluster count
• Graded: 90/100

Portfolio3-Reinforcement Learning

• Markov Decision Process
• Policy Calculation
• Temporal Difference Learning
• Graded: 70/100

Portfolio4-Dimensionality Reduction

• Latent Features: PCA & FA
• Feature Pruning
• Graded: 65/100

Portfolio5-Capstone

• Fraud Classification
• Class Imbalance
• Model Evaluation
• Graded: 90/100