about statistical techniques for Data Science

R program to analyze and calculate statistical values given a dataset of home prices that include information about the number of baths, bedrooms, year, square-feet, taxes, and other features. Learn more:

Prediction of Salary of individuals based on years of experience

Feasibility of staring a Sunday edition for a large Metroplitan newsapaper

Prediction model for profit of 50_startups data

Prediction of Delivery Time of newspapers using Sorting Time

This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.

Multi_Linear_Regression_on_Cars_data_to_predict_MPG

Prediction-model-for-predicting-Price-of-Cars

Biological network analysis of Mtb

Business Case : The Waist Circumference - Adipose Tissue

These are the solutions to the supplementary exercises for STA258. I automated the questions with things like pdf readers and functions built to answer all the questions. Please enjoy the fruit of my work. I maintain all "intellectual" property. All questions belong to Alison Weir.

In this project we have performed all types of feature transfromation on the titanic dataset and we have seen the usage of qqplot to check whether a feature is normal/gaussian distributed or not.