Workshop on ML/AI 🧠 using Python 3 🐍 with introduction to Language Basics, Constructs, Linear Regression, Multi-Linear Regression, Logistic Regression, KNN and Neural Networks @ What After College 🎓.

Assignment-05-Multiple-Linear-Regression-2. 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 y…

Workshop on ML/AI 🧠 using Python 3 🐍 with introduction to Language Basics, Constructs, Linear Regression, Multi-Linear Regression, Logistic Regression, KNN and Neural Networks @ What After College 🎓.

Workshop on ML/AI 🧠 using Python 3 🐍 with introduction to Language Basics, Constructs, Linear Regression, Multi-Linear Regression, Logistic Regression, KNN and Neural Networks @ What After College 🎓.

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.

Multi-Linear and Binary Logistic Regression in C.

Week1-exercise

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.

Find all ExcelR Data Science Assignment Solution Here

"Linear Regression Step by Step" is a repository that provides a comprehensive notebook with step-by-step examples, exercises and libraries to understand and implement Linear Regression easily.

Prediction of Miles per gallon (MPG) Using Cars Dataset

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Levera…

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.

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.