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Data Preparation for Machine Learning

Explore how to prepare data for machine learning in this focused course. Learn techniques for cleaning, transforming, and organizing data to enhance your models' accuracy.

4.48
average rating

Ratings

Beginner

Level

1.5 Hrs

Learning hours

6.1K+
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Data Preparation for Machine Learning

1.5 Learning Hours . Beginner

Enrol free with email

Skills you will learn

Data Leakage
Data Balancing
K-fold Cross Validation
Model Building

About this course

In the free "Preparing Data for Machine Learning" course, participants will delve into crucial techniques for optimizing machine learning models. This comprehensive course covers key topics including preventing Data Leakage, which ensures that the model training process is robust and free from unintentional biases.


Participants will also learn to build efficient pipelines to automate data preparation workflows, enhancing productivity and consistency. The module on k-fold Cross Validation introduces a reliable method for evaluating model performance using different subsets of data.


Additionally, the course addresses Data Balancing Techniques, vital for training models on datasets that accurately reflect diverse scenarios. This course is meticulously designed to equip aspiring data scientists with the skills needed to prepare data effectively, paving the way for advanced machine learning applications.

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Course Outline

Case Study

This module introduces you to the case study, where you will get an opportunity to apply your theoretical knowledge of Measures of Central Tendency to a practical scenario.

Agenda For Preparing Data For Machine Learning
Data Leakage
Building Pipelines
k-fold Cross Validation
Data Balancing Techniques

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Data Preparation for Machine Learning

1.5 Learning Hours . Beginner

Enrol free with email

Trusted by 10 Million+ Learners globally

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4.8
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4.89
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4.94
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4.7

Learner reviews of the free Machine Learning course

4.48
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Reviewer Profile
Ahmed khalid

5.0

★★★★ ★
Engaging and Informative Machine Learning Course
The curriculum was well-structured and covered a wide range of topics, from the basics of machine learning to more advanced techniques. I particularly appreciated the focus on practical applications and the use of real-world datasets. The quizzes and assignments were challenging but fair, and they helped me to solidify my understanding of the material. Overall, I found the course to be both enjoyable and informative, and I would highly recommend it to anyone interested in learning more about machine learning.
Reviewer Profile
Ameer Hamza

5.0

★★★★ ★
Great Insights on How We Prepare Data for Machine Learning
Great insights on preparing data for Machine Learning: Learned essential data cleaning, transformation, and preprocessing techniques. This will enable us to work and grow significantly in the field of Data Science. I would love to come back in the future, maybe to have an overview again!
Reviewer Profile
Swetha Bole

5.0

★★★★ ★
The Quiz is Really Interesting and the Lectures are Easy to Follow
I really enjoyed the engaging course path with the quiz, which is easy to follow.
Reviewer Profile
Muhammad Naeem 👨‍💻 (Data Scientist)

5.0

★★★★ ★
Completed a Comprehensive Course on Preparing Data for Machine Learning
Completed a comprehensive course on Preparing Data for Machine Learning, gaining hands-on experience in data cleaning, feature engineering, and handling missing values to enhance model performance and accuracy.
Reviewer Profile
Varshika R M

5.0

★★★★ ★
Understanding of Preparing Data for Machine Learning
This free course was very helpful because it was easy to learn and understand. The materials provided were easily understandable.
Reviewer Profile
Harikrishnan Ramamoorthy

5.0

★★★★ ★
Completely Understandable and Good Explanation
Teaching, content, theory, and practice. Everything was good, starting from data preparation to building the model.

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