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DataWorkshops

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

You can find us on our website, Facebook, Meetup, YouTube and Twitter, and also join our monthly newsletter.


Past meetups:


Data Science Summit Europe: Workshop Day

Shay Palachy & Inbar Naor - Exploring Network Data with Python

Speaker: Shay Palachy & Inbar Naor

Title: Exploring Network Data with Python

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

DataHack 2017: The Workshop Track

Shay Palachy - Handling data with Python

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

Inbar Naor - A practical intro to Machine Learning

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

Dan Ofer - Introduction to Natural Language Processing

Speaker: Dan Ofer

Title: Introduction to Natural Language Processing

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

DataHack 2017: The Deep Learning Workshop Track

Natanel Davidovits - A practical intro to Keras

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

DataHack 2018: DataLearn - Preparation Day

Daniel Marcous - Coding Your First Model

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

DataHack 2018: DataLearn - The Workshop Track

Gad Benram - Deep Learning Workshop

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

Daniel Marcous - Practical Machine Learning Track - General

Speaker: Daniel Marcous

Title: Introduction, Machine Learning Refresher, Kaggling

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

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

Shay Palachy - Practical Machine Learning Track - Preprocessing

Speaker: The (honestly, quite silly) Shay Palachy

Title: Preprocessing Data for Machine Learning

Video: https://youtu.be/uIYzh4bjiFw

Resources: https://goo.gl/q6a376

Yotam Sandbank - Practical Machine Learning Track - Tuning

Speaker: Yotam Sandbank

Title: Tuning Machine Learning Models

Video: https://youtu.be/uIYzh4bjiFw

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

Gal Eyal - Practical Machine Learning Track - Advanced

Speaker: Gal Eyal

Title: Advanced Machine Learning Models & Techniques

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

Resources: https://goo.gl/XDHCiV

Deep Learning Hands-on for Data Scientists

Speaker: Eyal Gruss

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

Video: TBA

DataLearn 2019: The Workshop Track

Oryan Moshe - Monday.com challenge presentation

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/

Shay Palachy - Intro to Machine Learning

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/

Gal Braun - Preprocessing

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

Dana Kaner - Introduction to modeling and Tree-based models

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

Dana Rubinstein - Parametric models

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