Workshop 2

PLEASE SIGN UP ON EVENTBRITE TO COME
PLEASE BRING A LAPTOP*

Eventbrite link: https://www.eventbrite.co.uk/e/machine-learning-workshop-2-tickets-55463414566

What is the aim of this meet-up?

The aim of these meetups is to provide an environment for you to teach yourself machine learning.
The aim is to do this by working through tutorials or Kaggle competitions.
You will split into groups depending on what you want to work on. You can work as a team, individually or as a pair in these groups.
Any ability is welcome. This is a self-lead learning course and is based on everyone helping each other.

Schedule (Subject to some change):

6.30 Arrive & Meet others. Pizza will be provided by our sponsor Just Eat.

6.50 Welcome Talk.

7.00 Talk by Kate and Diego of JustEat: "Cross-Sell using Machine Learning".

7.20 -8.45 Break into groups and work through Kaggle Competitions or tutorial.

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Please register with your full, correct name, on eventBrite to come along.

Please bring your laptop.

Please read and agree to the code of conduct BEFORE REGISTERING.

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Working Options

1. Stanford Machine Learning Course. https://www.coursera.org/learn/machine-learning
2. Titanic Kaggle. (Beginner Level 1 Kaggle, Classification Problem). https://www.kaggle.com/c/titanic
3. House Price Kaggle. (Level 2 Kaggle. https://www.kaggle.com/c/house-prices-advanced-regression-techniques
4. Digit Recognizer Kaggle. (Level 3 Kaggle, Computer Vision Fundamentals). https://www.kaggle.com/c/digit-recognizer
5. Facial Keypoints detection Kaggle. (Level 4 Kaggle, Natural Language Processing). https://www.kaggle.com/c/facial-keypoints-detection*

• if your level of understanding is more advanced please ask and I will assign another Kaggle

Suggested Tutorials

• Basic Machine Learning and Python Tutorial. V. Beginner level: (Please note this is not done with Jupyter notebook) https://www.tutorialspoint.com/machine_learning_with_python/index.htm

• Tutorial on how to use Jupyter notebooks: https://www.codecademy.com/articles/how-to-use-jupyter-notebooks

• Tutorial on titanic Kaggle: https://www.datacamp.com/community/tutorials/kaggle-machine-learning-eda

• Python Seaborn (data exploration) tutorial: https://elitedatascience.com/python-seaborn-tutorial

• Python Scikit (General-purpose machine learning library) tutorial: https://elitedatascience.com/python-machine-learning-tutorial-scikit-learn

Cheat Sheet

• https://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/

Code of Conduct

• https://www.meetup.com/Learn-machine-learning-and-Work-through-Kaggle-competitions/pages/28057356/Code_of_Conduct/