Regression - Bulldozer Sales Price - Kaggle Competition
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Updated
Jun 14, 2020 - Jupyter Notebook
Regression - Bulldozer Sales Price - Kaggle Competition
Comparision of classifiers titanic dataset
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.
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
Flight-Price-Prediction. With this end to end Project you can able to get FliGht Ticket Fare from your place.
A Python Machine Learning project to classify the Iris Dataset
classifying a patient has a heart disease or not
Deploying Flight Price Prediction via Microsoft Azure
Exploring the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward. (CF student project)
Buliding a ML model for predicting the selling price of a car
determining flight prices based on different parameters
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
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