Learning to create Machine Learning Algorithms

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

The normal equations for simple linear regression are a system of two linear equations used to find the optimal intercept and slope that minimize the sum of squared residuals. They are derived from the ordinary least squares (OLS) method and can be expressed in scalar or matrix form.Solver

Machine-Learning-Regression

Machine Learning Development Projects

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

Machine Learning in R

To know internal working of machine learning algorithms, I have implemented types of regression through scratch.

Predicting wine quality using regression on the well-known UCI data set and more

Welcome to the Data Science Introduction repository! This repository is designed to provide an introduction to the field of data science, covering various topics and techniques commonly used in the industry.

Salary prediction using simple linear regression

All my Machine Learning Projects from A to Z in (Python & R)

Simple Linear Regression

Wind Turbine Power Production

This Repository consists of popular Machine Learning Algorithms implemented from scratch using python

Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

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This is a repository for data science templates. New templates will be added as and when they are created. Feel free to use these templates for your data science projects!

Used Car Prices from the Automobile dataset in order to predict the most suitable Car Price.

Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

Multi-Linear-Reg

Detailed implementation of various regression analysis models and concepts on real dataset.

In this project, We have created a model which will predict the revenue in dollars.

Hands on experience on simple linear regression

Implementation of Simple and Multiple Linear Regression

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:books: A simple linear regression in R

Assignments on ML using Python.........

Implementation of Simple Linear Regression Model (SLR) or Linear Model (LM) or Linear Regression using R Language