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air-pollution-index-prediction

Various regression models to predict air pollution in Delhi

bank_telemarketing

bigmart-salesprediction

celeb_face_recognition

celtic_whiskey_dashboard

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data

Data and code behind the articles and graphics at FiveThirtyEight

house_price_prediction

The objective of this project is to determine the price of home based on around 79 independent variables describing (almost) every aspect of residential homes in Ames which covers every aspect

titanic-survival-prediction

uber-supply-demand-gap-analysis

unicorn_jetrail_time_series_analysis

visualisation-of-aqi-of-dublin

The objective of the project is to store the un-structured data in a structured form and then visually analyze and provide meaningful insight. The analysis carried out in this project answers the following questions: 1. Time of the day when level of SO2, NO2 and CO reaches maximum and when it drops to lowest. 2. Trend analysis and comparison of pollution level in North and South Dublin. 3. Main period of year when pollution is most.