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, voice support, progress monitoring through reports and tests per chapter to test your knowledge instantly.
✔️ After the course, you will receive a certificate of participation.

Why choose this course?

In the world of machine learning (ML), data preparation is one of the most crucial steps, but also often one of the most misunderstood. The performance of your machine learning models depends heavily on the quality and proper preparation of the training datasets. This course is designed to help you understand how to effectively prepare datasets for machine learning.

What you will learn:

• Basics of data for ML: Learn the fundamental concepts of data preprocessing and how they affect the performance of your machine learning models.
• Scaling data: Explore different techniques for scaling datasets, such as normalisation and standardisation, and learn when to apply them.
• Coding data: Learn how to code categorical variables effectively so that your machine learning algorithms can work with them.
• Handling missing values: Get an understanding of techniques for handling missing data and the imputation process to make the dataset complete.
• Enhancing your datasets: Understand how to augment data to make your models more robust and avoid overfitting.
• Feature engineering: Learn how to create new, powerful features that help your machine learning models perform better.
• Explore different tools: Study popular tools and techniques for preparing data, such as pandas and scikit-learn.

This course provides an in-depth and practical approach to preparing data, so you will be better equipped to build powerful and accurate machine learning models.

Who should participate?

This course is ideal for:

• Data scientists who want to strengthen their skills in data preprocessing and preparation.
• Machine learning engineers who want to learn how to create better training datasets for developing robust models.
• Software developers working with machine learning who want to improve their knowledge of how to prepare datasets effectively.
• Novice machine learning enthusiasts who want to learn the basics of data preprocessing and develop their skills for future ML projects.
• IT professionals who want to expand their knowledge into the world of machine learning and understand how to prepare data for algorithm implementation.
• Business analysts and consultants who work with machine learning solutions and want to learn how to prepare datasets for better analysis and prediction.

If you are interested in machine learning and want to improve the effectiveness of your models by optimising your datasets, this course is perfect for you.

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

Get started with machine learning models!

✔️ Flexible learning: Study the course at your own pace with rich interactive videos and voice support.
✔️ Hands-on learning: Apply your knowledge immediately through practical assignments and tests for each chapter.
✔️ Certificate of participation: Receive a certificate of participation after successful completion of the course.
✔️ Boost your career: Strengthen your machine learning skills by learning how to effectively prepare datasets for best model performance.

Order your course now and learn how to prepare the right data for powerful machine learning solutions!