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.
