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R-Projects-in-Time-Series-Analysis
A collection of time series analysis and modelling projects using R. Models implemented includes (seasonal) ARIMA models, multivariate VAR models, GARCH, and ARMA-error regression model with other external regressors.R-Projects-in-Data-Analysis
A collection of data analysis and modelling projects using R. Models implemented included GAMs, GAMMs, GLMs, GLMMs, LMMs, MLRs, and case control studies with both cross-validation and maximum likelihood estimation, accounting for random effects for individual groups if needed.K-Means-GMM-and-Reinforcement-Learning
Implemeted a Q-learning algorithm to find a shortest path in a stochastic maze under a Reinforcement Learning context. Experimented with k-Means and EM algorithm to find data clusters.TrueSkill-Ranking-Model-Using-MCMC-On-Tennis-Players
This project demonstrates Stochastic Variational Inference in the TrueSkill Model, using Bayesian inference in large models with continuous latent variables and Markov Chain Monte Carlo on tennis data sets.K-Fold-CV-Experimentation-in-Ridge-Regression
The goal of this mini project is to experiment with the K-fold cross validation (CV) procedure to tune the penalty parameter ฮป in Ridge regression, without using any pre-defined packages from libraries like scikit-learn.Julia-Intro
Brief intro to using Julia as a numerical computation language, including experimenting with automatic differentiation (auto-diff).Logistic-Regression-and-KNN-on-MNIST-digits
Implemented and optimized both k-NN and penalized logistic regression model to classify hand-written digits of '4's' and '9's'. Plotted visualizations for both models in terms of cross entropy loss and classification error with different hyper-parameters for comparison between models.AI-strategy-games-Stonehenge-and-Subtract-Squares
2 AI-based strategy gamesAI-Search-Algo-Sokoban-Game
An AI search algorithm to solve the Sokoban Puzzle involving multiple agents (robots).leetim13
Display README.md on profile page.BayesNet-and-Bayesian-Inference
Implemented variable elimination for any given Bayes Net. Used the net for problem-solving and inference.Decision-Trees-Identifying-Fake-News-Headlines
Using the scikit-learn decision tree classifier to classify real vs. fake news headlinesNN-Identify-Facial-Expressions
Used training data obtained from Toronto Faces Dataset to train a multi-layer Neural Network for various facial expression detection via ReLu and backpropagation with weight updates and momentumML-Logistic-Regression_K-NN
Classify hand-written digits of '4's' and '9's' using KNN and logistic regressionJulia-Neural-Network-with-Nonlinear-Regression-and-heteroscedastic-noise
This project experiments with fitting linear and non-linear regression models with heteroscedastic noise using multi-layer neural networks and MLE to capture both the mean and variance.PCA-and-Naive-Bayes-Classifier
Projected training data of โ2โsโ and โ3โsโ to lower dimensions and used a 1-NN classifier on the first K principal components. Experimented the same classification with Naives Bayes ClassifierVariational-Autoencoder-on-MNIST
This project implements and investigates the Variational Autoencoder on binarized MNIST digits by building a generative model to infer the bottom half of the given binarized MNIST digits conditioned on the top half of these images.AI-to-Player-OthelloGame
An AI-to-Player Othello Game with GUI on different board sizes. Uses both minimax and alpha-beta implementation with depth limit, state caching, and node ordering heuristics.covid-19-excess-deaths-in-Latin-America
Inspired from The Economist article on โTracking covid-19 excess deaths across countriesโ (The Economist, 2021), this report aims to investigate the proportion of overall excess deaths vs the official reported death counts due to the covid-19 pandemic using a Bayesian approach.Love Open Source and this site? Check out how you can help us