README.md

MIB Non-Neural Machine Learning

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Main repository for non-neural machine learning class. I will be uploading all of the materials we get into this repository to create a more comprehensive view.

Libraries that you're going to need:

pip3 install numpy pandas matplotlib sklearn tensorflow cv2-python yfinance

Link to videos

Session	Date	Day of date	Summary
1	26.09.2022	Monday	Theoritical lecture, Clustering and centroids
2	27.09.2022	Tuesday	Practise , scaling fitting kmeans
3	28.09.2022	Wednesday	Big Data / Databricks
4	30.09.2022	Friday	Big Data / Databricks
5	03.10.2022	Monday	Classification
6	05.10.2022	Wednesday	Classification
7	07.10.2022	Friday	Regression / Overfitting
8	10.10.2022	Monday	Regression / Overfitting
9	12.10.2022	Wednesday	Time Series
10	14.10.2022	Friday	Time Series
11	17.10.2022	Monday	Dimensional Reducation
12	19.10.2022	Wednesday	Kernel machines / Ensemble learning
13	21.10.2022	Friday	Perceptron
14	24.10.2022	Monday	Neural Networks, Basic gradient descent
15	25.10.2022	Tuesday	Gradient descent variant, Activation
16	26.10.2022	Wednesday	Regularization, hyperparameters
17	28.10.2022	Friday	Computer Vision, CNN
18	02.11.2022	Wednesday	RNN, LSTM
19	04.11.2022	Friday	Seq2seq, Bahdanau, Transformers
20	07.11.2022	Monday	Seq2seq, Bahdanau, Transformers
21	08.11.2022	Tuesday	Computer Vision, CNN
22	09.11.2022	Wednesday
23	10.11.2022	Thursday	Representation learning, Transfer learning, Reinforcement learning
24	11.11.2022	Friday	LSTM
25	14.11.2022	Monday	Capstone Project Consultation

Other interesting links

https://learn.microsoft.com/en-us/devops/plan/what-is-agile-development

https://www.youtube.com/watch?v=lWPiSZf7-uQ&t=2131

Timetable

Detailed Timetable