There are 0 repository under gridsearch topic.
Solution of the Titanic Kaggle competition
A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.
Aims at attributing the big-five personality traits to authors of essays by analyzing their works.
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
🔮 Mastermind puzzle solver using Genetic Algorithm and Grid Search for optimization
This project implements famous MAB algorithms and evaluates them on the basis of their performance - EpsilonGreedy, UCB, BetaThompson, LinUCB, LinThompson.
Hyperparameter-Optimization-Tutorial
Code for 1th and 2th stage of 2020 NTI ML competition.
Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.
Predicting house price
Comparison and Evaluation of various models in R
Combine grid search with early stopping via cross validation
A model classifying whether a person would survive on Titanic
Analysis of Terry Stops in Seattle
Implementation of various algorithms on scikit-learn's Toy Datasets.
Prediction of forest cover type in Python.
Build a machine learning model to predict if a credit card application will get approved.
Backpropagation and automatic differentiation, and grid search from scratch.
Bangla Music Mood Detect Pattern Lab Project
Data Analysis of NASA's Kepler mission for exoplanet exploration using Machine Leaning models and Pandas
Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
Prediction of molecule type in Python.
Assignments for the course Applied Machine Learning at NMBU.
Yandex Practicum Data Science project
Logistic Regression and Decision Tree models to predict Customers purchasing a Loan from the bank.
Cat vs. Dog classification model using traditional ML methods, including data collection, splitting, HOG feature extraction, model training (e.g., SVM, Decision Tree), and fine-tuning via Grid Search.
Python project for Banknotes Analysis.
This repository contains the code and data for a comprehensive survival analysis and prediction study conducted on patients with advanced heart failure. The study focused on 299 patients classified as class III/IV heart failure.
This project aims to predict customer churn using machine learning techniques. By understanding the factors that contribute to churn, businesses can take proactive measures to retain customers and maximize their customer base. The project focuses on developing a predictive model using machine learning algorithms to forecast customer churn.