Hyperparameter Tuning and Experiment Tracking with Weights & Biases

SVM Model Optimization: Learning Curves, Validation Curves, and Hyperparameter Tuning

In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.

A learning-curve to learn if and how to get a Blazor WASM running on github pages

Личный проект в области Computer Vision

This repository contains code for a bike rental prediction models including Random Forest, XGBoost, GradientBoosting, and Lasso Regression.

Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Machine Learning project - CMP2024 - Computer Engineering - Cairo University

Deep Learning using apple quality dataset

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

Hi, I am Sehresh Mehboob and Welcome to my Data Mining Project on SuperMarket dataset

Cataract classification

Предиктивный анализ оттока клиентов

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it cove…

Solving a classification problem with model comparison using learning curves.

2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction,…

Previsão do salário (acima ou abaixo de 50K) utilizando decision tree classifier, otimização por random search, cross validation, validation curve, learning curve.