Prepare a prediction model for profit of 50 startups data and Consider only the some columns and prepare a prediction model for predicting Price.

Find all my Data Science Assignments Here. These Assignments are based on different Statistical and Machine Learning Algorithms which are performed using python language💻.

Know about the Multi Linear Regression and calculate the model accuracy using various techniques. Performed EDA and identified null values and outliers and removed collinearity. Visualize using different charts and made accurate model by measuring R2 score.

In this project I attempt to develop a quantitative portofolio hedging strategy based on multi - linear regression

Ongoing practice with using Machine Learning models.

This project aims to develop a decision support system (DSS) to enhance Burger Bounty, a gourmet meatless burger food truck operating in the Hartford area. The system will aid the owner, in optimizing food truck sales and operations through data analysis and strategic recommendations.

Used different ML Algorithms to predict the fares of Airline Tickets

Implementation of a gradient descent algorithm for a multi-linear regression problem based on multiple predictors, and which takes in the value of the desired learning rate and the number of iterations.

Analyzing best features affecting resell value and making predictions.

Project conducted in STAT 4355.001.S22. Utilized the R Programming Language to determine a multi-linear model fitting to predict the number of bike rentals. Determined the appropriate attributes that significantly influenced the number of bike rentals. Collaboration with three other classmates.

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

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

This project employs multi-linear regression to analyze the Algerian Forest Dataset, aiming to predict forest cover type based on various factors.

Multiple Linear Regression Dataset Name - 50_startups data.

Multi Linear Regression Assignment - 5

Bayesian Statistics: Linear Regression and multi-linear models and related concepts (multicollinearity, correlation coefficient etc) on iris dataset in pymc3

Predicting housing sales prices.

Prediction model for profit of 50_startups data

Machine Learning Algorithms Practicals in Python with Datasets

Focusing on regression analysis, understanding its principles, and applying it to real-world datasets to predict outcomes and understand relationships between variables.