Feature Engineering For Data Science AZ Course on Feature Engineering For Data Science AZ published by Udemy Academy. Data preparation training Data engineering Encoding feature | Normalization feature | Top 5 Skills for a Data Scientist
My research interests are Unbasing Artificial Intelligence, Computational Machine Learning, and Conversational Artificial Intelligence. Recently, I’ve been doing more research on how companies can use data science to achieve greater results without compromising their customers’ privacy.
Building machine-learning models only takes a few minutes, but preparing your data to build a strong machine-learning model is what separates a good and successful data scientist from a bad one. If your feature engineering skills are wrong, your entire data science or machine learning journey is a waste of time. In this course, you will not only learn about industry-level strategies for performing feature engineering, but I will demonstrate them in practice for better understanding. You will learn all the industry-level strategies for dealing with chaotic data.
What you will learn in the Feature Engineering For Data Science AZ training course:
- Exploratory Data Analysis (EDA) with Python
- Master how to deal with messy data
- Master how to deal with things that are out of reach
- Master how to deal with lost data
- Master how to deal with data leaks
- Learn how to deal with weak machine-learning algorithms and models
- And …
Who is this course suitable for:
- Anyone interested in becoming a data scientist.
- Anyone interested in becoming a machine learning engineer.
- Any student interested in learning the best ways to prepare their data for building machine learning algorithms and models.
- Anyone interested in knowing how to do data engineering in industry.
- Publisher: Udemy
- Teacher: Dr. Bright (PhD in Data Science)
- English language
- Training level: introductory to advanced
- Number of courses: 208
- Training duration: 13 hours and 13 minutes
This is a beginner friendly course and does not require any pre-requisite
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Download part 6 – 690 MB
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