Course Overview
2h 18m | 16 Videos | 54857 Views | 
Intermediate| English[Auto-generated] 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:
1. Understanding the data.
2. Data Cleaning
3. EDA
4. Missing Value Imputation
5. Feature Engineering
6. Feature Selection
7. Model Building
8. Model Evaluation
9. 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
Pre-Requisites:
- Prior knowledge of machine learning required
- Usage of tools like R and SAS
