simple-regression

A collection of some of my R Projects

Machine Learning (ML) by using Python

A project based on FIFA players dataset from www.kaggale.com

Artificial Intelligence -> Machine Learning (ML) -> Supervised Learning -> Regression -> Simple Regression

I have applied the fundamental idea of Linear Regression with Single Variable input. I implemented the Gradian Descent algorithm simply from scratch with no libraries such as Scikit-Learn. I just used NumPy.

Regression projects including simple linear and logistic regression implemented in both Python and R.

Machine learning code includes various regression techniques. By ↃK.

Repositório contendo os códigos da disciplina Métodos Quantitativos Aplicados à Administração de Empresa I, ministrada pela professora Ana Amélia, na Escola de Artes, Ciências e Humanidades (EACH) na Universidade de São Paulo (USP)

Some R Projects - (Chi Square, K-Means, Sentiment Analysis, Simple Regression, T-Test)

Simple regression on Height and weight

This project builds and trains a regression model to predict the next day's stock closing price using historical market data. The model is based on a fully connected deep neural network (FCNN) built with TensorFlow/Keras.

Use Boston data to carry out simple Regression, LASSO polynomials, Decision Trees and Random Forest techniques.

This Project is for a 3MTT NextGen Cohort Mini Project on AI/ML. This project involves using Simple Linear Regression to make marketing ROI analysis. This project helps you understand how data science translates raw data into actionable marketing insights.

R programming scripts for statistical data analysis and visualization. Includes data cleaning, descriptive statistics, hypothesis testing (t-tests, ANOVA), correlation, regression modeling, and visualizations using ggplot2 and tidyverse.

Explore applied statistics in R with hypothesis testing, correlation, and regression for clear data analysis and modeling