This is a list of data science related workshops and intro talks given at DataHack events.

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Speaker: Shay Palachy & Inbar Naor

Title: Exploring Network Data with Python

Repository link: https://github.com/shaypal5/exploring_networks_with_python_intro

Speaker: Shay Palachy

Title: Handling data with Python: A brief intro to Jupyter Notebook, Numpy and Pandas

Repository link: https://github.com/DataHackIL/handling_data_with_python_datahack_workshop

Speaker: Inbar Naor

Title: A practical intro to Machine Learning

Slides: https://github.com/DataHackIL/DataWorkshops/blob/master/DataHack2017/inbar_naor_intro_to_ml.pdf

Speaker: Dan Ofer

Title: Introduction to Natural Language Processing

Slides: https://github.com/ddofer/talk/blob/master/NLP%20101%20-%20ML%20Seminar%202017.pdf

Speaker: Natanel Davidovits

Title: A practical intro to Keras

Slides: https://github.com/DataHackIL/DataWorkshops/blob/master/DataHack2017/natahnel_davidovits_intro_to_keras.pdf

Code: https://github.com/ndor/Keras-example---Dow-Jones

Speaker: Daniel Marcous

Title: Introduction to Machine Learning - Coding Your First Model

Resources: https://github.com/DataHackIL/DataWorkshops/blob/master/DataHack2018/Daniel_Marcous_Introduction_to_Machine_Learning__Coding_Your_First_Model.pdf

Speaker: Gad Benram

Title: Introduction to Deep Learning

Video: https://www.youtube.com/watch?v=EAoepWs4bDI

Resources: https://drive.google.com/file/d/1G-vR3DaM72_Q4b8lOSQWEY0eQXBrwSWE/view?usp=sharing

Speaker: Daniel Marcous

Title: Introduction, Machine Learning Refresher, Kaggling

Video: https://youtu.be/64LaOFe4ioE

Resources: https://goo.gl/5P6aCy https://goo.gl/TB4CqD

Speaker: The (honestly, quite silly) Shay Palachy

Title: Preprocessing Data for Machine Learning

Video: https://youtu.be/uIYzh4bjiFw

Resources: https://goo.gl/q6a376

Speaker: Yotam Sandbank

Title: Tuning Machine Learning Models

Video: https://youtu.be/uIYzh4bjiFw

Resources: https://goo.gl/6nnVpy

Speaker: Gal Eyal

Title: Advanced Machine Learning Models & Techniques

Video: https://youtu.be/V76u-PMPD98

Resources: https://goo.gl/XDHCiV

Speaker: Eyal Gruss

Event Link: https://www.meetup.com/DataHack/events/263725809/

Video: TBA

Speaker: Oryan Moshe

Video: https://youtu.be/Su8YcXgkDsk?t=328

Slides: https://docs.google.com/presentation/d/1BEQdjo7tP_gGEBqbXOE2jiOGIR_5UXGU_gAabTCa0fQ/edit?usp=sharing

Event Link: https://www.meetup.com/DataHack/events/263740425/

Speaker: Shay Palachy

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

Repository: https://github.com/DataHackIL/DataLearn-ML-Intro-2019

Event Link: https://www.meetup.com/DataHack/events/263740425/

Speaker: Gal Braun

Slides: https://docs.google.com/presentation/d/1ir2eMFGwrOaV8fk3xLiidJ9ZC33coTmes56ggRK1nQ8/edit?usp=sharing

Repository: https://github.com/DataHackIL/DataWorkshops/tree/master/DataHack2019-DataLearn

Resources: https://github.com/DataHackIL/DataWorkshops/blob/master/DataHack2019-DataLearn/ParametricModels.ipynb

Speaker: Dana Kaner

Slides: https://docs.google.com/presentation/d/1y5WQVfSqJiaprpKYyrja3SqwuHU7-jnHz2WO3FG2VBo/edit?usp=sharing

Repository: https://github.com/DataHackIL/DataWorkshops/tree/master/DataHack2019-DataLearn

Resources: https://github.com/DataHackIL/DataWorkshops/blob/master/DataHack2019-DataLearn/TreeBasedModels.ipynb

Speaker: Dana Rubinstein

Slides: https://docs.google.com/presentation/d/1y5WQVfSqJiaprpKYyrja3SqwuHU7-jnHz2WO3FG2VBo/edit?usp=sharing

Repository: https://github.com/DataHackIL/DataWorkshops/tree/master/DataHack2019-DataLearn

Resources: https://github.com/DataHackIL/DataWorkshops/blob/master/DataHack2019-DataLearn/ParametricModels.ipynb