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MLP-Homework

Syllabus

  • Learning Types
    • Supervised
      • Regression
      • Classification
    • Unsupervised
    • Reinforcement Learning
  • Decision Tree
  • Bayesian Classifier
  • Logistic Regression
  • Support Vector Machines
  • Ensemble Methods
  • Clustering
  • Q-Learning
  • Presentations

Evaluation

  • Midterm (20-25%)
  • Final (35-40%)
  • Homework (20-25%)
  • Final Project (15-20%)

Introduction

To have an environment for Machine Learning course:

python3 -m venv .
. ./bin/activate
python3 -m pip install -U numpy jupyter pandas matplotlib
python3 -m pip install -U scipy
python3 -m pip install -U mypy pycodestyle

In order to create PDF version of Jupyter Notebook you need the following packages:

sudo apt install pandoc
sudo apt install texlive-xetex

Then you can run the following command to create PDF:

jupyter-nbconvert notebook.ipynb --to pdf

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Dr.Nazerfard Machine Learning Course

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