machine-learning-projects

AI and ML projects and applications developed to learn various implementations

A machine learning journey in predicting battery cycle life for mission critical applications (takes 1 minute to open)

Goal: Predicting Modern Battery Lifetime using Machine Learning using a Stanford-Toyota Research Dataset (open)

• quantitative and and classification forecasting exploration
• statistical data analysis (One-Way ANOVA, ANOVA Ordinary Least Squares, and the Shapiro-Wilk, Levene, Turnkey tests)
• feature discovery (naive and physics-informed approaches)
• Multivariate Regression Model Implementations (naive, physics-informed)
• Hyperparameter Optimisation (LASSO, elastic net)
• Multivariate Classifier Model

---

Autoregressive integrated moving average (ARIMA) and Bayes Linear Regression Models (solar power forecast)

Goal: Forecasting solar power generation from weather data

---

Restricted Boltzman Machine (Convolutional Neural Network for Computer Vision) PDF-preview of livescript

Goal: Labelling Street View House Numbers (SVHN dataset). Associated files are under RBM-files

---

Ensemble Methods (Decision Trees and Random Forrest)

Goal: estimating the Friedman-Silverman function of the 10-dimension unit hypercube

---

Bayesian Linear Regression (Decision Trees and Random Forrest)

Goal: build and evaluate several models to estimate fuel consumption as a function of car acceleration and weight.

... more to come semper discens