Udemy – Feature Engineering for Data Science AZ 2022-7 – Download

Description

Feature Engineering For Data Science AZ published by Udemy Academy. Data Preparation Training Data Engineering Encoding Functionality | Normalization function | Top 5 skills of a data scientist

My research interests include baseless artificial intelligence, computational machine learning, and conversational artificial intelligence. Recently, I’ve been doing more research on how businesses can use data science to drive better results without compromising their customers’ privacy. Building machine learning models only takes a few minutes, but preparing your data to build a solid machine learning model is what separates a good 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 handling chaotic data. I will guide you step by step through each topic and explain each line of code for your understanding.

What you will learn in the Feature Engineering For Data Science AZ course:

Exploratory Data Analysis (EDA) with Python
Master how to manage messy data
Master how to handle things that are out of reach
Master how to deal with lost data
Master how to deal with data leaks
Learn to deal with weak machine learning algorithms and models
And…

Who should attend :

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 to create machine learning algorithms and models.
Anyone interested in knowing how to do data engineering in industry.