README
Python Fundamental and Machine Learning
A Topic of Interest Group in Macao Polytechnic Institute
Introduction
Lecturer: Steve Yan
Location: Macao Polytechnic Institute
Time Schedule: To be announced
Semester: 2
Useful URLs
Course Outline
This lecture contains two parts, namely Python fundamental and Machine Learning. Moreover, all of the process will be running on the Linux machine, which means that it will contain the part of knowledge in Linux shell.
No slides are distributed (cuz. I do not regard slides as efficient format to display codes) but all of the codes and explanations are showed on this Repository as well as the official website pyml.aspires.cc of this lecture.
Following topics will be covered in the Interest Group
Work with Linux
Hello Linux
Command Line
Vim
The Python language
conda: the Python environment manager
Transfer to Python
File structure
Importing modules
pip: Package manager
DS Utilities: Numpy
Traditional Machine Learning Algorithms
Supervised Learning
Linear and Polynomial Regression
K Neareast Neighborhood (KNN)
Naive Bayes Classifier
Neural Networks
Unsupervised Learning
K-means Clustering
Concept of Deep Learning
Implementation of Neural Networks from scratch
Introduction to Tensorflow / PyTorch
CNN: NN with image processing
Introduction to Data Augmentation
Brief introduction to miscellaneous Neural Networks
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