Premuim Courses and Tutorials

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Whether you want to build robots or AI applications, our trainings will teach you the key concepts and applications of Python, Raspberry Pi, Yahboom and Neurons.

Getting started in python 3

  • Introduction
  • Tuples, Strings, Loops
  • Lists and Tic Tac Toe
  • Built-in Functions
  • Indexes and Slices
  • Functions
  • Function Parameters
  • Mutability Revisited
  • Error Handling
  • Calculating Horizontal
  • Vertical Winners
  • Diagonal Winners
  • Bringing Things
  • Python Plays GTA V
  • Conclusion
  • Bonus

Intermediate Python 3

  • Argparse for CLI
  • Timeit Module
  • Python’s Zip function
  • More on Generators
  • Python’s Zip function
  • Multiprocessing
  • Introduction to OOP
  • Creating Environment
  • Inheritance
  • Decorators
  • Operator Overloading
  • Detecting Collisions
  • Special Methods
  • Logging
  • Headless Error
  • Args and Kwargs
  • Sockets Tutorial
  • Bonus

Learning OOP with Python 3

  • Passing functions
  • Styling your GUI a bit
  • Organizing our GUI
  • Creating our Menu
  • Building a message
  • Exchange Choice
  • Time-frame
  • Adding indicator
  • Trading option
  • Tutorial on adding
  • Allow the exchange
  • Adding exchange
  • Indicator Support
  • Setting up sub plots
  • Graphing an OHLC
  • Acquiring RSI data
  • Acquiring MACD
  • Creating the .exe
  • Kivy with Python
  • Bonus

Built robot with Raspberry Pi

  • Introduction
  • Remote Access
  • Terminal Navigation
  • Module Raspberry
  • Raspberry Pi Camera
  • GPIO Pins
  • Input from a Sensor
  • Garage Stoplight GPIO
  • 10 Projects Raspberry
  • Supplies Needed
  • Programming Robot
  • Programming RC
  • Weaponizing Robot
  • Programming AMR
  • OpenCV
  • Face Detection
  • 05 Practical work
  • Bonus

Built AMR with Yahboom

  • Remote control
  • Development
  • Experimental tutorial
  • Battery and charging
  • Used Video
  • APP Download
  • Code
  • Communication
  • USB camera firmware
  • Determine board type
  • Battery wiring touch
  • How to kill bluetooth
  • How to modify IP
  • USB camera
  • Use your phone
  • Bonus

Practical AI with Python

  • Regression
  • Pickling and Scaling
  • Creating Data
  • Classification
  • Applying K Nearest
  • Euclidean Distance
  • Creating a K Nearest
  • Testing our K Nearest
  • Final thoughts
  • Support VM
  • Vector Basics
  • Beginning SVM
  • Visualization
  • Kernels
  • Why Kernels
  • K-Means
  • Mean Shift algorithm
  • Tokenizing Words
  • OpenCV with Python
  • Bonus

Deep Learning with Python

  • Introduction
  • Installing TensorFlow
  • Creating the NNM
  • Run Network
  • Create our own Data
  • Simple PL Data for DL
  • Training and Testing
  • RNN
  • How to use CUDA
  • RNN w/ LSTM cell
  • CNN
  • Using a 3D CNN
  • Classifying Cats-Dogs
  • Using a NN
  • Loading your data
  • Analyzing Models
  • Optimizing Models
  • Use your model
  • Creating a Crypto
  • Normalizing
  • Balancing RNN
  • Crypto predicting
  • DL with Pytorch
  • A DL project
  • Bonus

RL and Q Table with Python

  • Q-Learning intro
  • Q Table introduction
  • Q Algorithm Agent
  • Q-Learning Analysis
  • Q-Learning
  • Deep Q Learning
  • Deep Q Networks
  • Training Deep Q L
  • Training Deep Q N
  • Intro Self-driving
  • Controlling the Car
  • Getting sensor data
  • Reinforcement L
  • RL Agent
  • RL in Action
  • Longer-term model
  • 02Practical work
  • A RL project
  • Recommendations
  • Bonus

UI Blocks

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