shaypal5 / ds-intro-workshop-23

A slightly updated version of an old introduction to ML/DS workshop.

Introduction to Machine Learning

The repository of my hands-on introduction to machine learning workshop. It was adapted from my workshop for the DataLearn 2019 track at DataHack 2019.

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

Resources

• Slides
  • Credits: Shay Palachy Affek and Dana Kaner
• Notebooks:
  1. Introducing Jupyter notebooks
  2. Introduction to Python
  3. Introduction to numpy
  4. Introduction to pandas
  5. Exploratory Data Analysis
  6. Preprocessing
  7. Modeling

Outline

Part 1: Tools of the trade

• Jupyter notebooks
• Python
• numpy
• pandas

Part 2: Data

• Data exploration
• Preprocessing
  • Imputation
  • Scaling and normalization
  • Handling outliers
  • Feature extraction/generation
  • Feature selection
  • Dimensionality reduction

Par 3: Modeling

• Model fit & loss functions
• Splitting your data
• Model evaluation
• Hyperparameter Optimization