Machine Learning - Exoplanet Exploration. used SVM, KNN, RandomForest Models.
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Updated
Jan 4, 2020 - Jupyter Notebook
Machine Learning - Exoplanet Exploration. used SVM, KNN, RandomForest Models.
census_data_model using machine learning algorithm as well as deep learning algorithm
Implementations on Pythia 8.3.10
Welcome to my model building and tuning project. This data is scraped Tripadvisor reviews of Austin, Houston, and Dallas hotels, which includes the hotel name and the entirety of the review. The hospitality industry can use this data to correlate which hotel services and amenities have the strongest impacts on review ratings.
HYPO_RFS is an algorithm for performing exhaustive grid-search approach for tuning the hyper-parameters of Ranking Feature Selection (RFS) approaches.
Object-oriented TS library for dynamic musical tuning of pitch collections.
ML classification project.
Performance Tipps für Pleasant Password Server auf MSSQL / Performance Tips for Pleasant Password Server on MSSQL
This repository is an assignment I completed for CMPUT466. The goal is to compare different machine learning algorithms on a real task.
An Implementation of a regression problem containing aspects of feature importance, feature engineering, model training and tuning.
Machine learning models capable of classifying candidate exoplanets from raw dataset
Natural Language Processing
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