featureimportances

There are 15 repositories under featureimportances topic.

  • MahsaShk/ApacheSpark

    Apache Spark machine learning project using pyspark

    Language:Jupyter Notebook3103

  • asim5800/Marketing-Campaign-Effectiveness-Prediction-

    Predicting effectiveness of marketing campaign. Effective financial marketing strategies can help you to focus on efforts so that you can better reach targets and goals.

    Language:Jupyter Notebook1100

  • Aysenuryilmazz/DamagePropagationModellingCMAPSS

    Aircraft Engine Run-to-Failure Simulation

    Language:Jupyter Notebook0101

  • Mschlei-48/Titanic-Data-Exploration-Preparation-and-Modelling-

    Titanic Dataset Exploration, Visualization and Modelling with Logistic Regression.

    Language:Jupyter Notebook0100

  • stephyi/SmartAd_AB_Testing

    using A/B testing to test if the ads that the advertising company ran resulted in a significant lift in brand awareness

    Language:Jupyter Notebook0100

  • tpurcell0122github/EasyVisa

    The Office of Foreign Labor Certification is facing a dramatic increase in work visa applications, but is hampered by a sluggish review system. It needs to improve the process by developing a way to quickly, accurately identify applications likely to be accepted or rejected so their processing may be prioritized.

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  • tpurcell0122github/INNHotels

    A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.

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  • tpurcell0122github/ReneWind

    ReneWind operates wind farms. Unexpected turbine failures are presenting operational and financial problems. This project uses machine learning to develop a model that accurately predict component failure, which will give the firm more control over maintenance scheduling, costs and power generation.

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  • akshayratnawat/BoostingAlgorithms

    This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost

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  • nitinjosephrepo/Data-Prepration-For-ML

    Most machine learning algorithms require data to be formatted in a very specific way, so datasets generally require preparation before they can yield useful insights. This repository is to document my study notes as I work through steps that I have personally found most challenging.

    Language:Jupyter Notebook10

  • rrambhia22/Regression-Predictive-Modeling-and-Analysis-of-Bitcoin-Hashrate

    The primary objective of this study is to develop a dependable and precise prediction model to forecast alterations in Bitcoin's hash rate.

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  • ryq99/What_We_Learnt_From_Kaggle_Survey_2020

    Kaggle Teaches Data Scientists How to Grow and Some Important Things to Note

    Language:Jupyter Notebook20

  • sefaamash/Second-hand-Car-Price-Prediction-ML-model

    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 features to predict the Price.

    Language:Jupyter Notebook10

  • sfansaria/Real-Fake-Job-Post

    Real-Fake-Job-Post

    Language:Jupyter Notebook10

  • tamannanazmin/Datathon

    Language:Jupyter Notebook10