The virtual project deals with a dataset that is complex which has to be cleaned, modelled, visualized and presentation has to be prepared.

Config files for my GitHub profile.

This assignment is a programming assignment wherein a multiple linear regression model is to be built for prediction of demand for shared bikes.

In this assignment, apart from applying the techniques that have been learnt in the EDA sessions, a basic understanding of risk analytics has been developed in banking and financial services and un…

This project holds all the files regarding "Data Visualization Empowering Business with Effective Insights" for which a dataset will be provided, visualizations and insights have to prepared with r…

This is a Python fundamental basic assignment provided by INeuron

This analysis is performed for X Education and to find ways to get more industry professionals to join their courses. The dataset provided gave us a lot of information about how the potential custo…

Analysis of Death Age Difference of Right Handers with Left Handers

This GitHub repository presents a comprehensive analysis of the commercial and passenger vehicle markets, employing advanced econometric techniques and machine learning methodologies. The primary o…

To predict the stock price prediction of Netflix organization using LSTM Model Predictive Analysis

Fiddling around in Excel sheets just doesn’t suit a digital jedi. In Switzerland, PwC’s Digital Upskilling Academy helps our people move from zero to digital hero. PwC is upskilling 284,000 people …

If you visit any recipe websites, let’s say food.com, for example, you will notice a section called “You’ll also love.” Under this section, the website recommends recipes related to the one you are…

To prepare for the next best steps that Airbnb needs to take as a business, you have been asked to analyze a dataset consisting of various Airbnb listings in New York.

The open-pit mine is facing problems of inefficient production and is losing customers' trust as they are not able to meet their demands even though there has been no surge in demand. As an analyst…

Make a system which tells whether the person will be save from sinking. What factors were most likely lead to success-socio-economic status, age, gender and more.