Day-2

Introduction to Python

  1. Datatypes

  2. List

  3. Tuple

  4. Dictionary

  5. List comprehension

  6. Slicing

  7. indexing

  8. Numpy arrays

  9. Pandas

Creating a basic Machine Learning Model

  1. Linear Regression

  2. Logistic Regression

  3. Support Vector Machine

  4. Random Forest

  5. Decision Trees

Steps

  1. Create a Dataset

  2. Load data onto IDE - Colab

  3. Create a Machine Learning Model and Train with data

  4. Save the trained model with the extension .h5

  5. Install micromlgen (pip install micromlgen) library with helps in converting ML model into C code

  6. Load the Model.h file into Arduino and run for testing on G-EDGE