Machine Learning Student Association workshops

The Python notebooks used in MLSA workshops.

Following is the weekly schedule of our workshops. We will upload the content after we conduct the workshops.

Week	Workshop Code	Content	Link
1	PR01, PR03	Setting up + Intro to data analysis, Alternative ways of setting up	Download
2	PR03	ML kickoff	Download
3	SL01	Classification	Download
4	SL02	Regression	Download
5	DL01	Deep Neural Networks
6	DL02	Convolutional Neural Networks
7	DL03	Recurrent Neural Networks
8	UL01	Unsupervised Learning
9	RL01	Intro to Reinforcement Learning + Model-Based (MDP)
10	RL02	Value-Based (DQN)
11	RL03	Policy-Based (Policy Gradient)

Apart from the weekly structure, the entire content structure looks like this:

Preliminary

[workshop-PR01], Setting up + Intro to data analysis
[workshop-PR02], ML kickoff
[workshop-PR03-optional], Alternative ways of setting up

Supervised Learning

[workshop-SL01], Classification
[workshop-SL02], Regression

Deep Learning

[workshop-DL01], Deep Neural Networks
[workshop-DL02], Convolutional Neural Networks
[workshop-DL03], Recurrent Neural Networks
[workshop-DL04-optional], NLP and Word Embeddings

Unsupervised Learning

[workshop-UL01], Unsupervised Learning

Reinforcement Learning

[workshop-RL01], Intro to Reinforcement Learning + Model-Based (MDP)
[workshop-RL02], Value-Based (DQN)
[workshop-RL03], Policy-Based (Policy Gradient)
[workshop-RL04-optional], Maths behind the scheme