Building ML Training Sets E-Learning

Order this unique E-Learning course Building ML Training Sets online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly.

One of the most crucial and unappreciated tasks of building good machine learning models is the preparation of data. Explore the various techniques available to scale and encode your datasets so you can get the best out of machine learning algorithms.

Course content

Building ML Training Sets: Introduction

Course: 1 Hour, 10 Minutes

• Course Overview
• Loading and Exploring a Dataset
• The Binarizer
• The MinMaxScaler
• The StandardScaler
• The Normalizer
• The MaxAbsScaler
• Label Encoding
• One-Hot Encoding
• Exercise: Building ML Training Sets

Building ML Training Sets: Preprocessing Datasets for Linear Regression

Course: 51 Minutes

• Course Overview
• Loading and Analyzing a Dataset
• Building and Evaluating a Linear Regression Model
• Scaling and Encoding the Data
• Analyzing the Effects of Preprocessing
• Standardizing Continuous Data
• Exercise: Preprocessing Data for Regression

Building ML Training Sets: Preprocessing Datasets for Classification

Course: 44 Minutes

• Course Overview
• Loading and Scaling a Dataset
• Spotting Correlations in a Dataset
• Principal Component Analysis
• Normalizing a Dataset
• Exercise: Processing Data for Classification