SQL Files

Resources and notebooks that I used to learn cool stuff

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest …

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer se…

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

This repository contains code snippets I use on daily basis.

This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.

This repository contains codes of online python/ML/AI/Statistics challenges I have solved.

In this project I aim to apply predictive maintenance techniques over 100MB of historical data from twenty of the units of a company that failed in the field. My objective is to see if there is a s…

This repository contains a method to develop a LSTM model for any task in a more efficient way using thumb rules..

This repository contains the summary of various research papers I have read. Feel free to fork and collaborate.

Statistical methods

Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of t…

Objective of this project is to perform predictive assesment on the Gross Domestic Product of India through an inferential analysis of various socio-economic factors to find out which predictors co…

This repository contains all the files I have worked with to learn pyspark

Objective of this project is to identify the in-control data points and eliminate out of control data points to set up distribution parameters for manufacturing process monitoring. I utilized PCA f…

In this project, I have employed various regression techniques to estimate the Power curve of an on-shore Wind turbine. Nonlinear trees based ensemble regression methods perform best as true power …

In this project I used novel models such as XgBoost and Fbprophet on the hourly energy consumption data to accurately predict energy usage in the future. Features are extracted from timestamps to f…

The objective of this project is to perform independent exploratory data analysis & visualization of drone flights data in order to find hidden trends, patterns, and anomalies.

This repository contains all assignments completed by me as a part of the academic course- Stat 689: Statistical Computation with Python

Objective of this project is to rank all Tennis Players based on the matches they played in the year of 2018. Statistics of all matches are given including their scores in all the sets of all match…

In this project I applied various classification models such as Logistic Regression, Random Forest and LightGBM to accurately detect and classify consumers who will default the loan. SMOTE techniqu…

In this project I implemented and compared three stationary distribution of Markov-chain based approaches to rank 32 NFL (National Football League) teams from "Best" to "Worst" using the scores of …