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a-b_testing_statisticalanalysis

E-news Express, an online news portal, aims to expand its business by acquiring new subscribers. This python based project performs EDA, data visualization and conducts a no of statistical tests to determine key business insights: in particular whether the new landing page can get greater viewership duration and subscriber conversion

coursera_machinelearningspecialization_uw

Contains codes as part of the ML specialization offered by UW in Coursera

data-analysis-with-py

food-aggregator-customer-behavior-eda-dataviz_python

Data Analysis and visualization using Python on customer data for different orders placed by registered customers in an online portal for a food aggregator company

hotel-cancellation_prediction_classification

A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group

machine-failure_prediction_ensemblemethods_modeltuning

This project predicts wind turbine failure using numerous sensor data by applying classification based ML models that improves prediction by tuning model hyperparameters and addressing class imbalance through over and under sampling data. Final model is productionized using a data pipeline

priceprediction_regression

Explored the dataset of a company that specializes in the reselling of used and refurbished devices. The objective of this project was to determine the future price of used phones and identify the factors that significantly influence them using a linear regression model with python

unsupervised_learning-clustering

This project explores and analyzes financial data of a number of securities, applies Hierarchical and K-means clustering to group securities and create cluster profiles to develop personalized portfolios and investment strategies for clients

visa-approval-prediction-ensemblemethodsml

This project presents a ML based solution using Ensemble methods to predict which visa applications will be approved and thus recommend a suitable profile for applicants whose visa have a high chance of approval