Udemy – Feature Engineering for Machine Learning 2019-3

Description

Feature Engineering for Machine Learning is a training course from the Udemy site that introduces you to feature engineering in machine learning and teaches you how to convert variables to data and build better models. If you have taken your first steps in data science and are familiar with previous models, you are likely to face more difficult challenges over time. At this point, you may find that your code looks cluttered and many values are ambiguous.

This course is a comprehensive course in the field of feature and variable engineering for machine learning that teaches you many engineering techniques. In this course, you will learn how to identify lost data, encode definite variables, convert numeric variables, delete separate sections, manage time and date variables, work with different time zones, and manage composite variables, and various application projects. You solve.

Items that are taught in this course

Learn different techniques to show lost data

Convert definite variables to numbers

Work with rare and unseen categories

Convert diagonal variables to Gaussian

Convert numeric variables to separate

Features of Feature Engineering for Machine Learning course

English language

Duration: 9 hours and 47 minutes

Number of courses: 123

Level of education: Intermediate

Instructor: Soledad Galli

File format: mp4

Topics

123 lectures 09:47:53

Introduction 9 lectures 20:03

Variable Types 6 lectures 15:43

Variable Characteristics 11 lectures 47:14

Missing Data Imputation 25 lectures 02:05:04

Multivariate Missing Data Imputation 1 lecture 00:03

Categorical Variable Encoding 21 lectures 02:04:38

Variable Transformation 4 lectures 23:05

Discretisation 14 lectures 01:10:17

Outlier Handling 7 lectures 33:06

Feature Scaling 14 lectures 52:22

Engineering mixed variables 2 lectures 09:23

Engineering datetime variables 3 lectures 17:32

Assembling a feature engineering pipeline 5 lectures 48:56

Final section | Next steps 1 lecture 00:21

Prerequisite

A Python installation

Jupyter notebook installation

Python coding skills

Some experience with Numpy and Pandas

Familiarity with Machine Learning algorithms

Familiarity with Scikit-Learn

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p