This is the material used in my free Persian course: Machine Learning with Python

Overview

Machine_Learning_intro

:) سلام دوستان

This is the material used in my free Persian course: Machine Learning with Python (available on YouTube).

This 2 hours long course offers a practical introduction into Machine Learning with Python. this course is for you if you are familiar with data analytics libraries in Python (Pandas, NumPy, Matplotlib) and you are looking for a hands-on introduction to Machine Learning. After finishing this course, you will grasp the basic concepts in Machine Learning and be able to use its techniques on any data with Scikit-Learn, the most commonly used library for Machine Learning in Python.

Note

Oddly, the notebook cells are horizontally aligned when rendered on GitHub. I haven't found the solution to this problem unfortunately. However, they are correctly aligned when rendered on Jupyter, so I recommend downloading the notebook files and opening them with Jupyter or Colab or similar IDEs.


Topics covered:

Intro_to_ML_1:

  • 1:
    • What is Machine Learning?
    • Types of Machine Learning
    • Types of Supervised Learning
  • 2.1:
    • Types of Regression
    • Simple Linear Regression
  • 2.2:
    • Model Evaluation in Regression
    • Overfitting
    • Train/test split
    • Cross-Validation
    • Accuracy Metrics for Regression
    • Simple Linear Regression with Python
  • 2.3:
    • Multiple Linear Regression with Python
    • Polynomial Regression with Python
  • 2.4:
    • Regularization
    • Ridge Regression with Python
    • Lasso Regression with Python

Intro_to_ML_2:

  • 3.1:
    • Types of Classification
    • K-nearest neighbors (KNN)
  • 3.2:
    • Evaluation metrics in Classification
    • Confusion Matrix
    • KNN with Python
  • 3.3:
    • Decision Trees with Python
    • Logistic Regression with Python
    • Support Vector Machines (SVM) with Python
  • 3.4:
    • Neural Networks
    • Perceptron with Python
    • Multi-Layer Perceptron (MLP) with Python

Intro_to_ML_3:

  • 4:
    • Why reduce dimensionality?
    • Feature Selection with Python
    • Feature Extraction with Python

Contact

Feel free to email me your questions here: [email protected]

Material gathered, created, and taught by Yara Mohamadi.

Owner
Yara Mohamadi
Yara Mohamadi
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