Popular repositories

1. Uber-Supply-Demand-Gap-A-guide-to-beginner-for-analysisthrough-visualization Uber-Supply-Demand-Gap-A-guide-to-beginner-for-analysisthrough-visualization Public

   A guide to beginner: How to perform uni-variate and bi-variate analysis. In this work, we focused on robust feature engineering from date and time. The date is solely time log data

   Jupyter Notebook 1 2

2. Clustering-Countries-basing-on-Socio-Economic-and-health-factors- Clustering-Countries-basing-on-Socio-Economic-and-health-factors- Public

   A detailed exercise for beginners in ML. This will comprehend implementation of clustering along with PCA and Outlier treatment extensively

   Jupyter Notebook 1

3. Gramener-Case-Study---LC-loan-approval Gramener-Case-Study---LC-loan-approval Public

   A detailed notebook on how to do exploratory data analysis for beginnners. This is an extensive notes on different uni and bivariate analysis even when we limit ourselves to bar plots and histograms

   Jupyter Notebook

4. Lead-Scoring-Classification-Case-Study Lead-Scoring-Classification-Case-Study Public

   A Classification Study to predict whether a lead is a potential customer or not. In this study, the focus is largely on thoroughly exploring data on categorical as well as continuous data. We also …

   Jupyter Notebook

5. Automobile-Prediction-Case-Study-using-Simple-Linear-Regression Automobile-Prediction-Case-Study-using-Simple-Linear-Regression Public

   This is a simple linear regression example. In the case study, the focus is more on cleaning the categorical data for expression errors and exploratory data analysis as well as feature selection ba…

   Jupyter Notebook 1

6. House-Price-prediction-with-Regularization House-Price-prediction-with-Regularization Public

   This work is similar to Car price Prediction example we detailed earlier but with regularization. The focus is largely on choice of as few as possible features from a large dataset which can explai…

   Jupyter Notebook