Project on ML - Predicting Prices using Regression
Project on ML - Predicting Prices using Regression
Machine Learning,Development,Regression
Lectures -17
Resources -2
Duration -2 hours
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Course Description
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
Through this training we are going to guide you through the process of predicting house sale prices using regression technique based on a case-study.
The training will include the following:
- Understanding the data.
- Data Cleaning
- EDA
- Missing Value Imputation
- Feature Engineering
- Feature Selection
- Model Building
- Model Evaluation
- Prediction on Test Data
Target Customers:
- Anyone who wants to learn about data and analytics
- Data Engineers
- Analysts
- Architects
- Software Engineers
- IT operations
- Technical managers
Goals
What will you learn in this course:
- Understanding the data.
- Data Cleaning
- EDA
- Missing Value Imputation
- Feature Engineering
- Feature Selection
- Model Building
- Model Evaluation
- Prediction of Test Data
Prerequisites
What are the prerequisites for this course?
- Prior knowledge of machine learning required
- Usage of tools like R and SAS
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
- Introduction to Predicting Prices Using Regression 10:21 10:21
- Resources Files
Going Through the Dataset
2 Lectures
Importing Data and Basic Analysis
3 Lectures
Missing Value Imputation
8 Lectures
Predictive Model Building
2 Lectures
Instructor Details
Corporate Bridge Consultancy Private Limited
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