Machine learning and data science projects in Python

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