Linear Regression Models: Building Simple Regression Models with Scikit Learn and Keras
Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
Use the Scikit Learn and Keras libraries to build a Linear regression model to predict the price of a house. Understand the steps involved in preparing data and configuring regression models.

Expected Duration (hours)
0.7

Lesson Objectives Linear Regression Models: Building Simple Regression Models with Scikit Learn and Keras

use the Pandas library to load a dataset in the form of a CSV file into a Dataframe for consumption by a linear regression model
create training and validation sets for your regression model
configure a linear regression model and then train and validate it and view the metrics for the model and visualize it using Matplotlib
install the Keras library and prepare the dataset for consumption by a Keras model
define the architecture for a Keras sequential model and initialize it
compile a Keras sequential model by defining the loss function and optimizer and train it to get the optimal values for weights and biases
evaluate a Keras sequential model by using it to make predictions on test data
work with training sets and the Keras sequential model

Course Number: it_mllrmddj_02_enus

Expertise Level
Beginner