Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…

Regression models using scikit learn library

Analyzed financial reports of startups and developed a multiple linear regression model which was optimized using backwards elimination to determine which independent variables were statistically significant to the company's earnings.

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Comparison of the stochastic gradient descent based on multiple linear regression

machine learning regression

Regression : Predicting the number of bikes to be rented based on environment and weather conditions

Multiple Linear regression model for 50 Startups Dataset

The respository is for Machine learning basiscs.

#️⃣ R, Linear Regression, Inferences, Correlation Analysis, Diagnosis, Remedial Measures,, Multiple Linear Regression, Quantitative and Qualitative Predictors, Logistic Regression and Poisson Regression, FIFA 18 Players Wages Prediction, HR Attrition at IBM Prediction. 🔢

Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

📊 📈 📉 Algorithm implementation using python

Implementation of Different Machine learning Algorithm with Sample Datasets in Python3

Multiple Linear Regression for Stock Market

A study on 'a titanic probability' via kaggle's dataset.

The NowCast System - Predictive modeling of water quality at California beaches

Code Created as part of the A-Z Machine Learning Coursework