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	Planned Date	Workshop Code	Content	Link
1	7 Aug	PR01, PR03	Setting up + Intro to data analysis, Alternative ways of setting up	Download
2	14 Aug	PR03	ML kickoff	Download
3	21 Aug	SL01	Classification
4	28 Aug	SL02	Regression
5	4 Sep	DL01	Deep Neural Networks
6	11 Sep	DL02	Convolutional Neural Networks
7	18 Sep	DL03	Recurrent Neural Networks
8	25 Sep	UL01	Unsupervised Learning-1
9	2 Oct	UL02	Unsupervised Learning-2
10	9 Oct	RL01	Policy-Based (Policy Gradient)
11	16 Oct	RL02	Value-Based (DQN)
12	23 Oct	RL03	Policy & Value-Based (A3C)

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

Unsupervised Learning

• [workshop-UL01], Unsupervised Learning-1
• [workshop-UL02], Unsupervised Learning-2

Reinforcement Learning

• [workshop-RL01], Policy-Based (Policy Gradient)
• [workshop-RL02], Value-Based (DQN)
• [workshop-RL03], Policy & Value-Based (A3C)