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Machine Learning & Data Science A-Z: Hands-on Python 2021

Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python
4.6
4.6/5
(175 reviews)
20,187 students
Created by

9.5

CourseMarks Score®

9.9

Freshness

8.3

Feedback

9.7

Content

Platform: Udemy
Price: $11.99
Video: 14h 27m
Language: English
Next start: On Demand

Top Machine Learning courses:

Detailed Analysis

CourseMarks Score®

9.5 / 10

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

Freshness Score

9.9 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly.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.

Student Feedback

8.3 / 10
We analyzed factors such as the rating (4.6/5) 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.

Content Score

9.7 / 10
Video Score: 9.8 / 10
The course includes 14h 27m 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 6 hours 15 minutes of 454 Machine Learning courses on Udemy.
Detail Score: 9.4 / 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: 9.9 / 10

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

This course contains:

2 articles.
4 resources.
0 exercise.
0 test.

Table of contents

Description

Are you interested in data science and machine learning, but you don’t have any background, and you find the concepts confusing?
Are you interested in programming in Python, but you always afraid of coding?
I think this course is for you!
Even if you are familiar with machine learning, this course can help you to review all the techniques and understand the concept behind each term.
This course is completely categorized, and we don’t start from the middle! We actually start from the concept of every term, and then we try to implement it in Python step by step. The structure of the course is as follows:
Chapter1: Introduction and all required installations
Chapter2: Useful Machine Learning libraries (NumPy, Pandas & Matplotlib)
Chapter3: Preprocessing
Chapter4: Machine Learning Types
Chapter5: Supervised Learning: Classification
Chapter6: Supervised Learning: Regression
Chapter7: Unsupervised Learning: Clustering
Chapter8: Model Tuning
Furthermore, you learn how to work with different real datasets and use them for developing your models. All the Python code templates that we write during the course together are available, and you can download them with the resource button of each section.
Remember! That this course is created for you with any background as all the concepts will be explained from the basic! Also, the programming in Python will be explained from the basic coding, and you just need to know the syntax of Python.

Requirements

• Python’s basic syntax

You will learn

✓ Understanding the basic concepts
✓ Complete tutorial about basic packages like Numpy and Pandas
✓ Data Visualization
✓ Data Preprocessing
✓ Understanding the concept behind the algorithms
✓ Developing different kinds of Machine Learning models
✓ Knowing how to optimize your models’ hyperparameters
✓ Learn how to develop models based on the requirement of your future business

This course is for

• Anyone with any background that interested in Data Science and Machine Learning with at least high school knowledge in mathematic
• Beginners, intermediate and even advanced students in the field of artificial intelligence, Data Science and Machine Learning
• Students in college that looking for securing their future jobs
• Employees that look forward to excel their job level by learning machine learning
• Anyone who afraid of coding in Python but interested in Machine Learning Concepts
• Any one who wants to create a new business using machine learning
• Graduate students and researchers that want to apply machine learning models in their thesis and projects

How much does the Machine Learning & Data Science A-Z: Hands-on Python 2021 course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.
The average price is $17.2 of 454 Machine Learning courses. So this course is 30% cheaper than the average Machine Learning course on Udemy.

Does the Machine Learning & Data Science A-Z: Hands-on Python 2021 course have a money back guarantee or refund policy?

YES, Machine Learning & Data Science A-Z: Hands-on Python 2021 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Machine Learning & Data Science A-Z: Hands-on Python 2021 course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Navid Shirzadi a SCAM or a TRUSTED instructor?

Navid Shirzadi has created 2 courses that got 187 reviews which are generally positive. Navid Shirzadi has taught 20418 students and received a 4.6 average review out of 187 reviews. Depending on the information available, Navid Shirzadi is a TRUSTED instructor.
Data Analyst – Optimization Expert
My name is Navid Shirzaid and I am super excited that you are here to read this section!I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence.To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you!

9.5

CourseMarks Score®

9.9

Freshness

8.3

Feedback

9.7

Content

Platform: Udemy
Price: $11.99
Video: 14h 27m
Language: English
Next start: On Demand

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