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Introduction to Python and Machine Learning

Python and Machine Learning from scratch
4.0
4.0/5
(44 reviews)
154 students
Created by

7.6

Classbaze Grade®

5.8

Freshness

8.7

Popularity

7.8

Material

Python and Machine Learning from scratch
Platform: Udemy
Video: 5h 35m
Language: English
Next start: On Demand

Best Python classes:

Classbaze Rating

Classbaze Grade®

7.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

5.8 / 10
This course was last updated on 12/2018.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.7 / 10
We analyzed factors such as the rating (4.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.8 / 10
Video Score: 8.4 / 10
The course includes 5h 35m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 9.5 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

In this page

About the course

Master the basics of Pythons and Machine Learning from scratch. If you are looking for good start in Machine Learning this is the course for you to start with. This course is design in such a way which need only minimum or no programming experience from participants.
This course will walk you towards every step of Python and Machine learning starting from the history, setup and exercises in Python and Machine learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course focuses more on practical aspect rather than theoretical aspect of programming.
In this course you will cover the following topics in much greater details.:

•Introduction to Python
•Python Data Types
•Control Flow
•Function, Modules and Packages
•I/O errors and Exceptions
•Classes
•Standard Libraries
•Numpy
•Metplotlib
•Pandas
•Machine Learning
•Introduction to Machine Learning
•Introduction to Scikit
•Installing Scikit – learn
•Introduction and Installing Jupyter Notebook
•Techniques Of Machine Learning
•Supervised Machine Learning
•Unsupervised Machine Learning
•Types of Machine Learning Algorithms
•Classifications
•and many more.
Who is the target audience?
•Anyone interested in Machine Learning.
•Students who have at least high school knowledge in math and who want to start learning Machine Learning.
•Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
•Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
•Any students in college who want to start a career in Data Science.
•Any data analysts who want to level up in Machine Learning.
•Any people who are not satisfied with their job and who want to become a Data Scientist.
•Any people who want to create added value to their business by using powerful Machine Learning tools.

What can you learn from this course?

✓ Learn Python from scratch
✓ Master Object Oriented Programming with Python
✓ Machine Learning Engineers earn on average $166,000 – become an ideal candidate with this course!
✓ Learn Machine learning algorithms to solve , analysis , and predict data accuracy
✓ Learn to work with Sciket – learn

What you need to start the course?

• Basic programming experience required
• Interested in Machine learning can join this course

Who is this course is made for?

• Beginner Python developer curious about Python and Machine Learning programming

Are there coupons or discounts for Introduction to Python and Machine Learning ? What is the current price?

The course costs $14.99. And currently there is a 50% discount on the original price of the course, which was $49.99. So you save $35 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Introduction to Python and Machine Learning course?

YES, Introduction to Python and Machine Learning has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Introduction to Python and Machine Learning course, but there is a $35 discount from the original price ($49.99). So the current price is just $14.99.

Who will teach this course? Can I trust Girish Shakya?

Girish Shakya has created 5 courses that got 199 reviews which are generally positive. Girish Shakya has taught 3,613 students and received a 3.3 average review out of 199 reviews. Depending on the information available, we think that Girish Shakya is an instructor that you can trust.
High Quality Java and Android Instructor
Browse all courses by on Classbaze.

7.6

Classbaze Grade®

5.8

Freshness

8.7

Popularity

7.8

Material

Platform: Udemy
Video: 5h 35m
Language: English
Next start: On Demand

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