Linear Regression House Price Prediction using Linear Regression

House Price Prediction using Linear Regression

Short name: House Price Prediction using LR
Course start date: 2024-07-02
Paystack

Description

In this course, we'll work on a project to create a model that uses linear regression to forecast the cost of a home.

This project's goal is to gain practical experience with a real-world dataset and receive machine learning algorithm training.


By the end of the course, you will have learned Python programming, Scikit libraries, feature engineering, dataset preparation, and methodologies for data visualisation. You will also have gained practical experience with the dataset (Matplotlib).


One must have a basic understanding of the Python programming language, machine learning methods, and statistics in order to successfully finish this course. Anaconda ought to be installed on your machine.

Course Duration:-3h 24m

Sections

General
0 activities

Introduction of Projects
Import Packages
Data Preprocessing
Data Transformation
Target Variable Splitting
Dataset Explanation
Dataset Explanation Continue
Feature Engineering
Feature Engineering Continue
Handling Missing Values
Handling Missing Values Continue
Exploratory Data Analysis
Exploratory Data Analysis Continue
Correlation
Predicting Result
Calculating Variance Inflation Factor
Calculating Variance Inflation Factor Continue
Conclusion
Course Certificate

Secure Video
18
Certificate
1
Cost: 5000

Tag

Course Duration:-3h 24m