I am starting a new course

Course objective

In this course, we are going to focus on the following learning objectives:

1. Understand the theory and intuition behind Multiple Linear Regression.

2. Import Key python libraries, dataset and perform data visualization

3. Perform exploratory data analysis and standardize the training and testing data.

4. Train and Evaluate linear regression model using Sci-kit Learn library.

5. Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2.

6. Assess the performance of regression models and visualize the performance of the best model using various KPIs.

7. Understand the distribution and relationship of data

Project Structure

The hands on project on Life Expectancy Prediction Using Machine Learning is divided into following tasks:

Task #1: Understand the Problem Statement and Business Case

Task #2: Import Datasets and Libraries

Task #3: Perform Data Visualization and Exploratory Data Analysis

Task #4: Create Training and Testing Dataset

Task #5: Understand the Theory and Intuition Behind Linear Regression Model

Task #6: Train a Linear Regression Model in Scikit-Learn

Task #7: Evaluate Trained Model Performance


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