CSCI 4050U
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Analytics with Pandas
Home
Data processing
Basics of NDArray
Vectorized Computation
Data Analytics Features of NumPy
Plots for machine learning
04 Dataframe
Analytics with Pandas
Mathematical Background
Linear Algebra
Calculus and Derivatives
Optimization Using Gradient
PyTorch and Autograd
Simple Model Fitting
Regression
Logistic Regression
Multi-layer Perceptron
Machine Learning
Overview of Machine Learning
Machine Learning Workflow
Modular Structure of Trainer
Network Architectures
00 Encoding
01 Conv
02 Conv2
03 Rnn
04 Rnn2
05 Sequence Learning
06 Attention
Advanced Topics
ML
Analytics with Pandas
row and column transformation
arithemtics
selection and projection
aggregation
concat and merge
04 Dataframe
Linear Algebra