The goal of the project is to predict Life Expectancy using various factors and to determine the relationship that exists between them.

Time Series Forecasting

Topic : Predicting Medal Counts by Countries in Upcoming Olympics Games // # Integrated historical Olympic data with demographic, health, and economic datasets to generate a large dataset # Developed a linear regression model displaying prediction accuracy close to 70%, within the margin of error

Used libraries and functions as follows:

This repository contains implementations of regression models on the Starbucks stock market. The goal is to provide a comprehensive understanding of the performance of these models. Also, implement metrics without relying on external machine learning libraries. ☕️📈

Feasibility of staring a Sunday edition for a large Metroplitan newsapaper

The goal of the report was to fit the linear regression model to the data and check whether the data met the assumptions of the model. The results were used to make predictions.

The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.

A boat-sharing system is a service in which boats are made available for city tour. Required to model the demand for open boats with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand le…

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

Prediction Car prices using a Linear Regression model

Intended to implement multiple-indicator, multiple-cause (MIMIC) modelling with discrete indicators in R.

Repo for VU Online Market Places - Course essay.

Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends. Visualize historical data, evaluate models with key metrics, and analyze residuals for validation

Prediction of Miles per gallon (MPG) Using Cars Dataset

To model the demand for shared bikes with the available independent variables

A MATLAB program related to Regression Models

Anomaly detection for building HVAC data.

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.