This will be workshop number 1 in a series which will run every other week either on a Monday or Tuesday.

Schedule (Subject to some change):

6.30 Arrive & Network. Food and drink will be provided.

6.45 Introduction talk.

7.15 Groups will be formed based on the options chosen.

7.30 - 8.30 Work through Stanford Course or Kaggle.

The work options are:

1. Stanford Machine Learning Course.

2. Titanic Kaggle. (Beginner Level 1 Kaggle, Classification Problem).

3. House Price Kaggle. (Level 2 Kaggle,

4. Digit Recognizer. (Level 3 Kaggle, Computer Vision Fundamentals)

3. Facial Keypoints detection. (Level 4 Kaggle, Natural Language Processing)*

You can choose to work through any other project or tutorial associated with machine learning but this this will be independent to the set groups.

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

The aim of these meetups is to provide a space and dedicated time for your self-directed learning. We will be working through the FREE online Stanford course on machine learning or Kaggle completions. Any ability is welcome. This is a self-lead learning course and is based on everyone helping each other.

Further Resources:

Useful mathematical fundamentals

• Linear algebra-Linear Algebra
• Probability theory-Probability and Statistics

Machine Learning and Python:

• https://github.com/justmarkham/scikit-learn-videos
• https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A

Kaggle:

• How to get up and running with Kaggle.
• How to use Kaggle.