An Introductory Guide to Data Science and Machine Learning

An Introductory Guide to Data Science and Machine Learning

This course covers data science, machine learning, and big data basics, including key concepts, libraries, and hands-on Kaggle projects for practical learning.

Beginner

93 Lessons

6h

Certificate of Completion

This course covers data science, machine learning, and big data basics, including key concepts, libraries, and hands-on Kaggle projects for practical learning.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

63 Playgrounds

This course includes

63 Playgrounds

Course Overview

There is a lot of dispersed, and somewhat conflicting information on the internet when it comes to data science, making it tough to know where to start. Don't worry. This course will get you familiar with the state of data science and the related fields such as machine learning and big data. You will be going through the fundamental concepts and libraries which are essential to solve any problem in this field. You will work on real-time projects from Kaggle while also honing your mathematical skills whi...Show More

Course Content

1.

What is Data Science ?

2.

Applications of Data Science

3.

Overview of Libraries

4.

Probability and Statistics

5.

Machine Learning Part-1

6.

Machine Learning Part-2

15 Lessons

7.

Machine Learning Part-3

7 Lessons

8.

Deep Learning

8 Lessons

9.

Machine Learning Tools and Libraries

3 Lessons

10.

Big Data Tools and Technologies

4 Lessons

11.

Where to go next ?

3 Lessons

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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