Simple Linear Regression implemented in Python
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Updated
Sep 20, 2022 - Jupyter Notebook
Simple Linear Regression implemented in Python
EXCELR ALL ASSIGNMENTS
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.
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.
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.
Simple Linear Regression in Machine Learning
ExcelR Data Science Assignment 4
Here you can find All data Science assignments with solutions and data set
Hands-on 2: Simple Linear Regression for SIA I
This repository contains many simple linear regression models and their datasets.
Basic to Advanced Topic of Machine Learning Examples.
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.
The relationship between the schooling level and life expectancy around the world: an exploratory model using linear regression in Python
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 Mod…
Utilizing simple linear regression to forecast students' academic performance by analyzing the correlation between study hours and exam marks.
Build a simple linear regression model by performing EDA and do necessary transformations
a simple implementation of simple linear regression
This repository contains various regression models built using Python, including Linear Regression, Polynomial Regression, and Multiple Linear Regression. Each model is trained and evaluated on real-world datasets with clear visualizations using Matplotlib and Seaborn.
This project aims to implement a simple linear regression model using Python and explain the interpretation.
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