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A comprehensive analysis and predictive modeling of the "Salary Data.csv" dataset to forecast salaries. Utilizes advanced machine learning techniques, including pipelines and transformers, for robust and accurate predictions.
This repository includes the implementation of RandomizedSearchCV (with cross-validation) for hyperparameter fine-tuning in Convolutional Neural Networks
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.
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.
Proyecto final del curso de DataScience en CoderHouse que intenta ayudar a una entidad bancaria a la hora de decidir si emite una tarjeta de crédito al solicitante