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9 search results found

Machine Learning In R ⭐ 144

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Featureselection ⭐ 47

Feature Selection in R using glmnet-lasso, xgboost and ranger

Data Science Portfolio ⭐ 10

House Prices Advanced Regression Techniques ⭐ 7

Multiple Classification ⭐ 6

Multiple classification with Small amount of data

Predicting_money_spent_at_resort ⭐ 6

It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.

Youtube Adview Prediction ⭐ 6

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.

House Prices Advanced Regression Techniques ⭐ 5

The objective of the project is to perform advance regression techniques to predict the house price in Boston.

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