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Description
Feature Engineering for Machine Learning is a course from Udemy that introduces you to feature engineering in machine learning and teaches you how to convert variables into data and build better models. If you have taken your first steps in data science and are familiar with previous models, you will probably face more difficult challenges over time. At such a stage, you may notice that your code looks messy and many values are ambiguous.
This training course is a comprehensive course in the field of feature engineering and variables for machine learning that teaches you many engineering techniques. In this course, you will learn how to specify missing data, coding deterministic variables, converting numerical variables, deleting separate parts, managing time and date variables, working with different time zones, and managing composite variables, and various practical projects. you solve
Items taught in this course:
- Learn different techniques to show missing data
- Convert deterministic variables to numbers
- Work with rare and unseen categories
- Convert diagonal variables to Gaussian
- Convert numeric variables to discrete
Features of the Feature Engineering for Machine Learning course:
- English language
- Duration: 13 hours and 58 minutes
- Number of courses: 213
- Education level: Intermediate
- teacher : Soledad Galli
- File format: mp4
Course topics on 5/2023
Course prerequisites
- A Python installation
- Jupyter notebook installation
- Python coding skills
- Some experience with Numpy and Pandas
- Familiarity with Machine Learning algorithms
- Familiarity with Scikit-Learn
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
Changes:
The 2022/3 version has increased the number of 15 lessons and the duration of 41 minutes compared to 2019/3.
The 2023/4 version has increased the number of 75 lessons and the duration of 3 hours and 30 minutes compared to 2022/3.
download link
Password file(s): www.downloadly.ir
Size
3.96 GB
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