Machine learning and data science projects in Python
- Modelling of Total Solar Radiance data with Gaussian Process Regression and Support Vector Regression
- Brain State Change detection by applying Gaussian Hidden Markov Models to EEG data.
- Model selection for mixture models using variational Bayes and information theoretic methods
- Global temperature anomaly data modelling - 1. Frequentist linear regression
- Global temperature anomaly data modelling - 2. Bayesian linear regression with Markov Chain Monte Carlo
- Global temperature anomaly data modelling - 3. Gaussian Process and Support Vector Regression
- Spatio-Temporal Geolocation Data - 1. Exploration, Visualization and DBSCAN Clustering
- Spatio-Temporal Geolocation Data - 2. Classification with Support Vector Machines
- Spatio-Temporal Geolocation Data - 3. Point Process Analysis and Modelling with Poisson Hidden Markov Models
- Bitcoin Time Series Forecasting - 1. Baseline Predictive Models
- Bitcoin Time Series Forecasting - 2. Multilayer Perceptron Regression
- Bitcoin Time Series Forecasting - 2. Multilayer Perceptron Classification
- Bitcoin Time Series Forecasting - 2. Random Forest Classification