Free Python 3 FULL STACK MASTERCLASS 45 AI Projects Online Training Tutorials

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Free Python 3 FULL STACK MASTERCLASS 45 AI Projects Online Training Tutorials

HTML To Artificial Intelligence Deep Learning Bootcamp Cornell University course w/Machine Learning! New for 2018!

Python 3 FULL STACK MASTERCLASS 45 AI projects Learn Freely

Python 3 FULL STACK MASTERCLASS 45 AI projects Learn Freely

Limited Time Offers Only

Includes

  • Video: 32.5 hours
  • 154 Downloadable Resources
  • Lectures: 181
  • Skill level: All Levels
  • Full lifetime access
  • Access to mobile and TV
  • Certificate of Completion

What Will I 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

  • have a PC or Mac. Must have the desire to learn to programme. HD monitor is preferred.

Description

I used AI to classify brain tumours. I have 11 publications on Pubmed talking about that. 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 full-stack 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 it is on a very strong foundation.

This is the definitely the most advanced yet simple Python full stack 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 FULL-STACK 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, will be learning HTML5, 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:

  • HTML5
  • 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 OOP
  • Inheritance
  • Polymorphism
  • Lists
  • Dictionaries
  • Tuples
  • Sets
  • Number Data Types
  • Print Formatting
  • Functions
  • Scope
  • args/kwargs
  • Built-in Functions
  • Debugging and Error Handling
  • Modules
  • A 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. Dimensionality Reduction
  6. Hyperparameter 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
  8. KNN
  9. Decision Tree
  10. Random Forests
  11. OLS
  12. Evaluating Linear Model
  13. Ridge Regression
  14. LASSO Regression
  15. Interpolation
  16. Perceptron Basic
  17. Training Neural Network
  18. Regression Neural Network
  19. Clustering
  20. Evaluating the Cluster Model
  21. kMeans
  22. Hierarchal
  23. Spectral
  24. PCA
  25. SVD
  26. 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.
  • Anyone who wants to learn full-stack 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.

Contact/Hire Artificial Intelligence Programmer

 

About the Author:

UI - UX Designer n Developer Expertise & a wide range of experience with various technologies technical project manager. Proficient in handling cross-browser UI/UX issues and hacks to design and develop out-of-the-box solutions for Web/Mobile Apps Design n Developments.