Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.

Compute a squared sample Pearson product-moment correlation coefficient.

Multiple linear regression model based on eCommerce customers data in Python language.

Feature transformation is a technique in machine learning that is used to modify the original features of a dataset in order to improve the performance of machine learning algorithms.

Probability and Statistics for Machine Learning

Gold Price Prediction

Predicting annual highest of sneakers on StockX

An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.

Heart Risk Level Predicting Regression Model 💔

Functional specification to calculate per country's happiness score

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

Performing multiple linear regression on a simple dataset.

An npm package to make it easier to deal with a handful of values, and try to model them in one of the most used mathematical models, with an R/Numpy-like accuracy algorithm

I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the …

Hosts R content associated with Linear Regression series on YouTube

Hosts Python content associated with Linear Regression series on YouTube

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

Learn how to use R and statistics in order to analyze vehicle data