There are 1 repository under simplelinearregression topic.
EXCELR ALL ASSIGNMENTS
Simple Linear Regression implemented in Python
Simple Linear Regression in Machine Learning
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.
Multiple Linear Regression Analysis of Mileage Actual observations vs Predicted Observation
This project demonstrates a basic implementation of simple linear regression in Julia. It generates synthetic data, performs linear regression to find the equation of the line, and then plots the data points and the regression line.
This repository implements a Linear Regression model using the WiDS: Agent Jackie Assignment 1 Dataset from Kaggle. The model predicts a target variable using a single feature, with parameters (slope and intercept) calculated using the Ordinary Least Squares (OLS) method.
To predict the percentage of marks of an student based on the number of study hours
ExcelR Data Science Assignment 4
We will be performing simple linear regression on salary.csv dataset.
A Statistical Approach to Understanding the Unemployment Situation Among European Countries from the Reformation and Development Perspective
Hands-on 2: Simple Linear Regression for SIA I
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.
Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using Python.
Build a simple linear regression model by performing EDA and do necessary transformations
Utilizing simple linear regression to forecast students' academic performance by analyzing the correlation between study hours and exam marks.
Here you can find All data Science assignments with solutions and data set
This repository contains many simple linear regression models and their datasets.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
a simple implementation of simple linear regression
The relationship between the schooling level and life expectancy around the world: an exploratory model using linear regression in Python
Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, I will try to give you basic ideas of underlying concepts with the help of practical examples. If you are starting your career or want to brush up on your knowledge of regression, this repo is made up for you. These projects begins by introducing some simple real-life examples for regression. From a brief introduction to most of the concepts used in regression to hands-on experience, these projects will give you enough understanding to apply those in real-world problems. With the help of the background developed, you will code your regression model in python.
Basic to Advanced Topic of Machine Learning Examples.
ols_regression, Simple_Linear_Regression,univariate_Polynomial_Regression,Bayesian_Regression
Simple linear regression
In this repository, I have explored various regression algorithms. The code is currently incomplete as I am still working on finalizing it.
This project aims to implement a simple linear regression model using Python and explain the interpretation.