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Product description
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.
Demo Building ML Training Sets Training
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!
Specifications
Article number
138852756
SKU
138852756
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
2:45 Hours
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation policy and money-back guarantee
We assess this on a case-by-case basis
Award Winning E-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
Order this unique E-Learning Training Building Apps with MEAN Stack online, 1 ye...
€156,09€129,00
Specifications
Article number
138852756
SKU
138852756
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
2:45 Hours
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation policy and money-back guarantee
We assess this on a case-by-case basis
Award Winning E-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
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