• Online, Self-Paced
Course 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.

Learning Objectives

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

  • Course Overview
  • 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

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Software Development