Welcome to my Github pages

This site is a collection of personal notes for my reference. I hope you find them as useful as I do.

Machine Learning & Engineering - GeorgiaTech
CS7637 Knowledge Based AI (KBAI)
CS7638 AI for Robotics (AI4R)
CS6476 Computer Vision (CV)
ISYE6420 Bayesian Statistics
CS7646 ML for Trading (ML4T)
CS6475 Comp. Photography
CS7641 Machine Learning
ISYE6644 Simulation
CS7643 Deep Learning
CS6515 Intro Graduate Algorithms
CS7280 Network Science
High Dimensional Data Analytics - InProg
CS7650 Natural Language Processing
Misc Reference
Probability
SAS - All in One Page
Latex Symbols
Latex formulas
Pandas
Numpy
Matplotlib
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Linear Regression
Logistic Regression
Basic Forecasting
Monte Carlo Simulation
External Links
Python tutorial
Quantecon
Forecasting Textbook
TBD
Beginner
Beg - DataScienceHandbook
Machinelearningmastery.com
Adv - ritchieng
Adv - MIT deeplearningbook
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Articles
Principal Component Analysis
Linear Discriminant Analysis
Decision Trees & Random Forests
K-Means Clustering
Naive Bayes
Support Vector Machines
Intro
TBD
Datasets
City of Toronto
UCI ML Data Repo (original)
Machine Learning Mastery - Jason Brown lee
City of Calgary
UCI ML Data Repo (New - Beta)
Binary Classification - James McCaffrey