Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
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Updated
Jun 16, 2022 - Jupyter Notebook
Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
African language Speech Recognition - Speech-to-Text
We implemented a Multi-Layer Perceptron (MLP) model from scratch and compared its performance based on image classification accuracy on the "Fashion-MNIST" dataset to the performance of the Tensorflow Keras library's Convolutional Neural Network (CNN).
Intro to Machine Learning Project from TripleTen
This project investigates economic growth factors, specifically GDP, by applying ordinary least squares (OLS) and a more robust, proposed estimator. It includes data preparation, feature engineering with natural cubic splines, and detailed analysis
Supervised Learning - Regression Algorithm
Building predictive models to detect and prevent the fraudulent transactions happening on cerdit cards and debit cards. Implementation of 2nd factor authentication for safe and secure transactions.
African language Speech Recognition - Speech-to-Text
In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I evaluate and compare the performance and accuracy of these models using a breast cancer dataset, and get the confusion matrix and accuracy score.
Model BIC posterior probability
Developed and compared models to forecast hourly electricity load and prices using over nine years of real-world German market data, spanning linear methods (AR, OLS) and machine learning algorithms (Random Forests, Regression Trees).
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