Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
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Jun 16, 2022 - Jupyter Notebook
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model-comparison-and-selection
Here are 10 public repositories matching this topic...
African language Speech Recognition - Speech-to-Text
python machine-learning tensorflow keras deeplearning speech-to-text cml dvc mlops mlflow experiment-analysis audio-and-text-processing model-comparison-and-selection
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Aug 13, 2021 - Jupyter Notebook
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).
machine-learning cnn mlp cnn-keras cnn-model multilayer-perceptron-network cnn-architecture mlp-regressor model-comparison multilayer-perceptron mlp-classifier cnn-classification mlp-networks model-comparison-and-selection
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May 9, 2023 - Jupyter Notebook
Supervised Learning - Regression Algorithm
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Dec 8, 2023 - Jupyter Notebook
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
machine-learning feature-engineering data-processing descriptive-statistics standardisation natural-cubic-spline ols-regression-model elasticnet-regression model-comparison-and-selection
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Jun 10, 2025 - Jupyter Notebook
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.
machine-learning random-forest credit-card data-visualization logistic-regression decision-trees feature-engineering predictive-modeling class-imbalance data-cleaning debit-card smote fraud-detection model-validation adasyn cost-benefit-analysis label-encoding rfe model-comparison-and-selection
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Jul 15, 2023 - Jupyter Notebook
Intro to Machine Learning Project from TripleTen
machine-learning linear-regression scikit-learn jupyter-notebook regression supervised-learning classification logistic-regression evaluation-metrics decision-tree-regression mean-square-error random-forest-regression trained-models accuracy-metrics model-quality tuning-hyperparameters model-comparison-and-selection splitting-data
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Jan 20, 2025 - Jupyter Notebook
Model BIC posterior probability
r model-selection structural-equation-modeling lavaan model-comparison model-comparison-and-selection
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Sep 17, 2024 - R
African language Speech Recognition - Speech-to-Text
machine-learning deep-learning tensorflow keras pytorch speech-to-text cml dvc mlops mlflow experiment-analysis audio-and-text-processing model-comparison-and-selection
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Aug 21, 2021 - Jupyter Notebook
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.
machine-learning random-forest naive-bayes artificial-intelligence logistic-regression confusion-matrix decision-trees support-vector-machines knearest-neighbor-classifier model-comparison kernel-svm model-comparison-and-selection
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Apr 6, 2025 - Jupyter Notebook
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