Machine Learning: Data Preprocessing[Python][Hindi]

Machine Learning: Data Preprocessing[Python][Hindi], available at Free, has an average rating of 4.25, with 11 lectures, based on 207 reviews, and has 8964 subscribers.

You will learn about What is Data Preprocessing? What are various types of Data Preprocessing and why we need it. This course is ideal for individuals who are Data Preprocessing is prerequisite for Machine Learning coding. It is particularly useful for Data Preprocessing is prerequisite for Machine Learning coding.

Enroll now: Machine Learning: Data Preprocessing[Python][Hindi]

Summary

Title: Machine Learning: Data Preprocessing[Python][Hindi]

Price: Free

Average Rating: 4.25

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

What is Data Preprocessing? What are various types of Data Preprocessing and why we need it.

Who Should Attend

Data Preprocessing is prerequisite for Machine Learning coding.

Target Audiences

Data Preprocessing is prerequisite for Machine Learning coding.

This course is designed to understand the basic concept of data preprocessing. Anyone can opt for this course. No prior understanding of machine learning is required. The data pre-processing concept and its implementation in Python are covered in detail.

Data quality is critical to a successful machine learning model. Data preprocessing is a prerequisite for machine learning. We cannot feed into machine learning algorithms as raw data. It is important to clean the data, analyze it, and transform it to understand machine learning algorithms.

Course Curriculum

Chapter 1: Data Preprocessing

Lecture 1: What is Data Preprocessing?

Lecture 2: Checking for Null Values: Concept + Python Code

Lecture 3: Correlated Feature Check: Concept + Python Code

Lecture 4: Data Molding(Encoding): Concept + Python Code

Lecture 5: Data Splitting

Lecture 6: Data Splitting : Python Code

Lecture 7: Impute Missing Values: Concept + Python Code

Lecture 8: Scaling

Lecture 9: Scaling: Python Code

Lecture 10: Label Encoder: Concept + Code

Lecture 11: One-Hot Encoder: Concept + Python Code

Instructors

Rishi Bansal
Senior Developer

Rating Distribution

1 stars: 10 votes
2 stars: 12 votes
3 stars: 41 votes
4 stars: 87 votes
5 stars: 57 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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