AmjadHisham/DataLearn-ML-Intro-2019

The repository of the hands-on introduction to machine learning workshop of the DataLearn 2019 track at DataHack 2019.

DataLearn Supervised ML Intro 2019

The repository of the hands-on introduction to machine learning workshop of the DataLearn 2019 track at DataHack 2019.

Video link: https://youtu.be/Su8YcXgkDsk?t=1701

Meetup event link

Notebooks by Shay Palachy. Presentation by Shay Palachy and Dana Kaner. (Thank you Dana <3)

Resources

• Presentation:
  • Intro to Machine Learning presentation
  • Credits: Shay Palachy and Dana Kaner
  • Video recording: https://youtu.be/Su8YcXgkDsk?t=1701
• Notebooks:
  1. Introducing Jupyter notebooks
  2. Introduction to numpy
  3. Introduction to pandas
  4. Exploratory Data Analysis
  5. Preprocessing
  6. Modeling
  7. Utility: Reading the data

Outline

• Tools of the trade
  • Jupyter notebooks
  • numpy
  • pandas
• Data exploration
• Preprocessing
  • Imputation
  • Scaling and normalization
  • Handling outliers
  • Feature extraction/generation
  • Feature selection
  • Dimensionality reduction
• Modeling
  • Model fit & loss functions
  • Splitting your data
  • Model evaluation
  • Hyperparameter Optimization