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).
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
Intro to Machine Learning Project from TripleTen
complete-time-series-forecasting
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.
Supervised Learning - Regression Algorithm
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.
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).
Model BIC posterior probability
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