featureimportances

There are 0 repository under featureimportances topic.

MahsaShk / ApacheSpark
Apache Spark machine learning project using pyspark
rdd dataframe mllib pyspark aws ec2 spark logiticregression gbt randomforest linearregression imbalanced-data featureimportances sparkstreaming twitter covid-19 streaming nlp
Language:Jupyter Notebook 3
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.
banking classification f1-score feature-engineering featureimportances machine-learning precision random-forest
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Aysenuryilmazz / DamagePropagationModellingCMAPSS
Aircraft Engine Run-to-Failure Simulation
correlation-matrices earlystopping feature-engineering featureimportances heatmap lstm mae minmaxscaling mse permutationimportance random-forest
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Mschlei-48 / Titanic-Data-Exploration-Preparation-and-Modelling-
Titanic Dataset Exploration, Visualization and Modelling with Logistic Regression.
feature feature-selection featureimportances logistic-regression machine-learning visualization
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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
featureimportances classification hypothesis-testing ab-testing brand-awareness
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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.
adaboostclassifier bagging-classifier confusion-matrix decision-trees gradient-boosting-classifier hyperparameter-tuning random-forest stacking-classifier xgboost-classifier featureimportances model-tuning
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tpurcell0122github / INNHotels
A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
confusion-matrix decision-trees featureimportances logistic-regression multicollinearity precision-recall-curve pruning roc-auc-curve roc-auc-score cost-complexity-pruning visualization
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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.
adaboostclassifier bagging confusion-matrix cross-validation decision-tree-classifier featureimportances gradientboostingclassifier heatmap-visualization hyperparameter-tuning logistic-regression missingvalues oversampling pipelines random-forest-classifier tuning-parameters undersampling validation xgbclassifier xgboost-classifier
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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
adaboost-algorithm adaboost-learning boosting-algorithms boostrap featureimportances gradient-boosting gridsearchcv overfitting-reduced random-forest-classifier randomsearch-cv shap xgboost-algorithm
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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.
featureimportances logistic-regression sklearn sklearn-pipeline machinelearningalgorithms
Language:Jupyter Notebook
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.
arima-model correlation-analysis data-driven-reports datapreprocessing datavisualization decision-tree-regression featureimportances forecasting-models linear-regression machine-learning-algorithms model-evaluation-metrics model-interpretation pca-analysis python random-forest-regression recommendations statistical-analysis tableau-desktop timeseries-analysis
ryq99 / What_We_Learnt_From_Kaggle_Survey_2020
Kaggle Teaches Data Scientists How to Grow and Some Important Things to Note
dataanalytics datavisualization datamanipulation featureimportances xgboost
Language:Jupyter Notebook
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.
random random-forest hyperparameter-optimization randomizedsearchcv feature-engineering featureimportances savingthemodel usingthemodel
Language:Jupyter Notebook
sfansaria / Real-Fake-Job-Post
Real-Fake-Job-Post
datamodeling datapreprocessing datavisualization decision-tree-classifier exploratory-data-analysis feature-engineering featureimportances logistic-regression mlp-classifier natural-language-processing random-forest-classifier simpleimputer wordcloud-generator dataprepar
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tamannanazmin / Datathon
datacleaning featureimportances logistic-regression smote-sampling
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