Regression - Bulldozer Sales Price - Kaggle Competition

Prediction of the auction prices of bulldozers using historical data.

Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.

factors affecting the sales of the walmart store

Predicting the Sale Price of Bulldozers using Machine Learning

Flight Price Prediction Model Deployment IN Heroku

Diabetes Classification with SVM and Random Forest Classifiers

This repository includes the implementation of RandomizedSearchCV (with cross-validation) for hyperparameter fine-tuning in Convolutional Neural Networks

Hyperparameter tuning using gridsearchCV and randomizedsearchCV

This repository includes Machine Learning model on second hand car price prediction fron cardekho.com I have used RandomForest Regressor as it is best one performing on this dataset . This repository include model file which have all the implementation of model and other file is MODALUSAGE in which I have used the model I did by giving the featu…

Flight Price Predictor is a service that helps you forecast the price of a flight ticket .The goal of this project, first apply the machine learning models then predict to flight price.

Using Logistic Regression with RandomizedSearchCV Hyperparameter Tuning to find out whether a student gets placement or not.

Hyperparameter tuning is the process of finding the optimal hyperparameters for a machine learning model. Hyperparameters are values that are set prior to training a model and affect its performance, but cannot be learned from the data. Some common examples of hyperparameters include the learning rate, regularization strength.

Develop a predictive model that determines the likelihood of a customer defaulting loan payment

A Python Machine Learning Project designed to predict Halloween Candy sales for a company based on historical data

Repositório de classificação de Spam (Kaggle competition)

Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

Model to predict bank customer churn

Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.