Data Preprocessing & Feature Engineering
Real-life data is unclear. This is the reason why preprocessing tasks take approximately 70% of the time in the ML modeling process. Moreover, there is a lack of dedicated courses which deal with this challenging task. Introducing, "Data Science Course: Data Cleaning & Feature Engineering" a hardcore completely dedicated course to the most difficult tasks of Machine Learning modeling - "Data preprocessing". If you want to enhance your data preprocessing skills to get better high-performing ML models, then this course is for you!
This course has been designed by experienced Data Scientists who will help you to understand the whys and hows of preprocessing. You will be guided step-by-step into the process of data preprocessing. With every tutorial, you will develop new skills and improve your understanding of preprocessing challenging ways to overcome this challenge.
In this course, you will learn:
- Preprocessing the data takes 60%-70% of the time. The course provides the entire toolbox to you to convert your raw data to model ready data
- Become efficient in pre-processing data using various python packages such as pandas_profiling, category-encoders, etc.
- Learn Scikit-learn Pipeline, Column transformers to make the code readable and efficient
- Export Analysis Output to a Text file or Excel (export multiple data frames to different sheets and multiple data frames to the same sheet in a workbook programmatically.
- Become an Expert in Python Pandas and scikit-learn for data manipulation and feature engineering
This course offers:
- Flexible deadlines: Reset deadlines based on your availability.
- Get a Certificate when you complete
- 100% online
- Advanced level
- Approximately 6 hours to complete
- Subtitles: English
Udemy Rating: 4.7/5
Enroll here: https://www.udemy.com/course/data-science-course-data-cleaning-feature-engineering/
