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CRISP DM Data Understanding | Data Understanding in Data Science | Data Science Methodology | Part 3

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Lesson extensions

Lessons List | 8 Lesson

Data Science Life Cycle | Data Science Life Cycle Project | Data Science Project | Part 1

Data Science Life Cycle | Data Science Life Cycle Project | Data Science Project | Part 1

CRISP DM | Business Understanding in Data Science | Data Science Methodology | Part 2

CRISP DM | Business Understanding in Data Science | Data Science Methodology | Part 2

CRISP DM Data Understanding | Data Understanding in Data Science | Data Science Methodology | Part 3

CRISP DM Data Understanding | Data Understanding in Data Science | Data Science Methodology | Part 3

CRISP DM | Data Preparation in Data Science | Data Science Methodology | Part 4

CRISP DM | Data Preparation in Data Science | Data Science Methodology | Part 4

Data Science Life Cycle Project | Feature Engineering | Feature Engineering in Data Science Part 5

Data Science Life Cycle Project | Feature Engineering | Feature Engineering in Data Science Part 5

CRISP DM | Data Science Life Cycle Project | Model Development in Data Science | Part 6

CRISP DM | Data Science Life Cycle Project | Model Development in Data Science | Part 6

CRISP DM | Steps in Model Evaluation | Best Practices for Evaluating a Model | Part 7

CRISP DM | Steps in Model Evaluation | Best Practices for Evaluating a Model | Part 7

CRISP DM | Model Deployment and Monitoring in Production | Machine Learning Model | Part 8

CRISP DM | Model Deployment and Monitoring in Production | Machine Learning Model | Part 8

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Ariba Shuaib

good 2024-09-28

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Awesome. I loved the session best and easy way to do any course for free while sitting at home 2024-09-23

OSEGHALE NICHOLAS

It gives me the basic knowledge on Data Science but hoping to get an advanced knowledge from here too 2024-08-16

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I actually really enjoyed this course. I appreciate the effort put into the course and the notes. 2024-08-07

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Course Description

Data Preparation course, In this course we'll explore techniques and best practices for cleaning, transforming, and optimizing data for analysis and modeling.

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