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Sameeksharajsb / Foundational-Statistics-and-Hypothesis-Testing

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A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results

inferential-statistics hypothesis-testing summary-statistics correlations variability welch-t-test chi-squared-test
  • Updated Sep 18, 2021
  • Jupyter Notebook

nitinjosephrepo / Feature-Selection-Exploratory-Data-Analysis

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Effort here is to identify important features in relation to our target variable using multiple Correlation methods based on data type. Feature selection is important for ML models to avoid 'curse of dimensionality' but for this dataset we will be using it build our intution that benefits our later EDA effort

feature-engineering pearson-correlation chi-squared-test phik mutual-information-score
  • Updated Nov 25, 2022
  • Jupyter Notebook

rochitasundar / Classification-booking-cancelation-prediction-StarHotels

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The aim is to develop an ML- based predictive classification model (logistic regression & decision trees) to predict which hotel booking is likely to be canceled. This is done by analysing different attributes of customer's booking details. Being able to predict accurately in advance if a booking is likely to be canceled will help formulate prof…

logistic-regression confusion-matrix statsmodels decision-tree-classifier grid-search-hyperparameters sklearn-library precision-recall chi-squared-test cost-complexity-pruning roc-auc-curve variance-inflation-factor scipy-stats
  • Updated Jan 20, 2022
  • Jupyter Notebook

vahadruya / Capstone_Classification_Cardiovascular_Risk_Prediction

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This project explores the Framingham Heart disease dataset with the objective to predict its risk in 10 years. Various methods for handling missing values and outliers are explored as iterations. After analysing the dataset, important and necessary features are selected. Seven ML models are implemented, with evaluation on the basis of Test Recall.

python sklearn pandas t-test classification trimming decision-trees smote random-forest-classifier knn-classifier shap heart-disease-prediction xgboost-classifier recall-score chi-squared-test knn-imputation winsorization shapiro regression-imputation
  • Updated Apr 7, 2023
  • Jupyter Notebook

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