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 🎓.

Multi-Linear and Binary Logistic Regression in C.

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 🎓.

Used different ML Algorithms to predict the fares of Airline Tickets

Prediction of Miles per gallon (MPG) Using Cars Dataset

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.

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

Ongoing practice with using Machine Learning models.

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

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

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

Multiple Linear Regression Dataset Name - 50_startups data.

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.

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Week1-exercise

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

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 🎓.