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ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects

Updated for 2020! HTML To Artificial Intelligence Deep Learning Bootcamp Cornell University course w/Machine Learning!
3.5
3.5/5
(458 reviews)
17,971 students
Created by

8.0

CourseMarks Score®

7.5

Freshness

6.2

Feedback

9.8

Content

Platform: Udemy
Price: $17.99
Video: 29h 57m
Language: English
Next start: On Demand

Top Artificial Intelligence courses:

Detailed Analysis

CourseMarks Score®

8.0 / 10

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

Freshness Score

7.5 / 10
This course was last updated on 6/2019.

Course content can become outdated quite quickly.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

6.2 / 10
We analyzed factors such as the rating (3.5/5) 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

9.8 / 10
Video Score: 10.0 / 10
The course includes 29h 57m 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 5 hours 31 minutes of 172 Artificial Intelligence courses on Udemy.
Detail Score: 9.8 / 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: 9.5 / 10

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

This course contains:

0 article.
137 resources.
0 exercise.
0 tests or quizzes.

Table of contents

Description

My name is GP.  I used AI to classify brain tumors.  I have 11 publications on Pubmed.  I went to Cornell and taught at UCSF, NIH, Cornell University and Amherst College.  
We are offering LIVE HELP M-F 9-5 and also outside those hours when online.
This course will be continually updated and we answer all questions.  We will continue updating content based on both user demand and changes in machine learning and AI.  If you have taken a previous bootcamp but still are struggling, this course will fill in the holes and have you applying Python on lots of different projects.  You will learn faster by 
This is the only fullstack course that teaches you everything from basic frontend HTML to Python 3, Machine learning, Tensor Flow, and Artificial Intelligence / Recurrent Neural Networks!  
This is a large course, but it is still easy!  The secret to this course is that to learn rapidly, we present information in small steps, so that no one step seems difficult.  Of course, there are lots of steps, so the knowledge builds fast, but its on a very strong foundation.  
This is the definitely the most advanced yet simple Python fullstack course online.  There is no other course ANYWHERE that goes as far into Data Science and Machine learning/ Artificial Intelligence as a stand alone topic, let alone with a FULLSTACK Python course preceding the data science.  We can literally take someone with no programming experience and have them doing AI programs in about 2 weeks (or faster if they study daily).  Whether you have never programmed before, already know basic syntax, or want to finally advance your skillset, this course is for you! In this course we will teach you HTML, CSS, Bootstrap, Javascript, jQuery and Python 3.
With over 170 lectures and more than 30 hours of video this course is extremely comprehensive
We cover a wide variety of topics, including:
•HTML
•CSS
•Bootstrap (to make responsive websites fast!)
•Javascript (to interact with users)
•jQuery (to further interact with users using clicks and mouseovers)
•Installing Python
•Running Python Code
•Strings
•External Modules
•Object Oriented Programming
•Inheritance
•Polymorphism
•Lists 
•Dictionaries
•Tuples
•Sets
•Number Data Types
•Print Formatting
•Functions
•Scope
•args/kwargs
•Built-in Functions
•Debugging and Error Handling
•Modules
•File I/O
•Advanced Methods
•Decorators/ Advanced Decorators
•and much more!
For Data Science / Machine Learning / Artificial Intelligence
•1. Machine Learning
•2. Training Algorithm 
•3. SciKit 
•4. Data Preprocessing 
•5. Dimesionality Reduction 
•6. Hyperparemeter Optimization 
•7. Ensemble Learning 
•8. Sentiment Analysis
• 9.  Regression Analysis
•10.Cluster Analysis
•11. Artificial Neural Networks 
•12. TensorFlow 
•13. TensorFlow Workshop 
•14. Convolutional Neural Networks 
•15. Recurrent Neural Networks 
Traditional statistics and Machine Learning
•1. Descriptive Statistics
•2.Classical Inference Proportions 
•3. Classical InferenceMeans
•4. Bayesian Analysis
•5. Bayesian Inference Proportions
•6. Bayesian Inference Means
•7. Correlations
•11. KNN
•12. Decision Tree 
•13. Random Forests 
•14. OLS 
•15. Evaluating Linear Model 
•16. Ridge Regression
•17.  LASSO Regression
•18. Interpolation 
•19. Perceptron Basic
•20.  Training Neural Network 
•21. Regression Neural Network 
•22. Clustering
•23. Evaluating Cluster Model
•24. kMeans
•25. Hierarchal
  26. Spectral 
•  27. PCA 
•  28. SVD 
•  29. Low Dimensional 

You will get lifetime access to over 180 lectures plus corresponding Notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you’ll get your money back. 
Learn Python and AI in the easiest possible way, so you can advance your career quickly and easily. 

Who is the target audience?

•Beginners who have never programmed before.
•People who took a programming bootcamp but are looking to apply that knowledge to build something other than very basic projects.  
•Intermediate Python programmers who want to understand Artificial Intelligence Programming.

You will learn

✓ Students will be able to create websites, build applications, create Artificial Intelligent learning programs that can recognize handwriting and learn while analyzing data.
✓ Will help you get a job as a Fullstack programmer or Artificial Intelligence data scientist.
✓ Build over 10 AI data analysis tools

Requirements

Requirementshave a PC or mac. Must have desire to learn programming. HD monitor is preferred.

This course is for

• Anyone who wants to learn fullstack in Python 3 and apply it to making AI immediately. If you are a Python 3 Expert, you will still gain knowledge from the 45 projects.
• Python Developers who want to get started using Machine Learning in a realistic way using numerical or image data sets.

How much does the ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects course cost? Is it worth it?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $14.7 of 172 Artificial Intelligence courses. So this course is 5% cheaper than the average Artificial Intelligence course on Udemy.

Does the ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects course have a money back guarantee or refund policy?

YES, ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects 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 ZERO to GOD Python 3.8 FULL STACK MASTERCLASS 45 AI projects course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who is the instructor? Is Gopal Shangari a SCAM or a TRUSTED instructor?

Gopal Shangari has created 3 courses that got 731 reviews which are generally positive. Gopal Shangari has taught 45,138 students and received a 3.4 average review out of 731 reviews. Depending on the information available, Gopal Shangari is a TRUSTED instructor.
Senior Software Engineer
BA Degree from Computer Science and Neuroscience from Cornell University in Ithaca NY


MD from Medical College of Ohio (now University of Toledo College of Medicine)

Statistics Certificate from University of California San Francisco

Worked at UCSF as Data Science Programmer from 2008-2012

National Institute of Health (NIH) as Data Science Programmer 2013-2018

NIH as Machine Learning Instructor 2016-2018

Nextcore AI data contracting for NIH 2016-present

8.0

CourseMarks Score®

7.5

Freshness

6.2

Feedback

9.8

Content

Platform: Udemy
Price: $17.99
Video: 29h 57m
Language: English
Next start: On Demand

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