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Python Notes
Cheat Sheet
Formatting
Python float format - Complete Table
Python float formatting
matplotlib
Numpy
1. Numpy Basics
2. Numpy Reshape Cheatsheet
Pandas
apply, applymap, map
Pandas reshaping data with pivot pivot_table melt unstack stack
Binning data with Pandas qcut and cut
Reshaping data
Pytorch
How to
How to install dtreeviz for Decision Tree Visualization on Windows without system admin permissions
How to set up a python virtual environment on a Windows machine
How to install minepy pacakge for Max Information Coefficient (MIC)
How to work with openpyxl
Random Notes
Python Class method vs Static method in Python
How to merge or concatenate dictionaries in Python
Convert a string of a list to a list
Data Analytics
Data Visualization and Analysis Handbook
Data Visualization and Analysis Handbook (Apr 2019 v2)
Data Visualization and Analysis Handbook (2022)
Data Visualization
Data Visualization in Excel
Data Visualization in Python
Machine Learning
Machine Learning Packages
Machine Learning Essential Packages - 2021
Machine Learning Essential Packages - Jun 2022
Machine Learning Essential Packages - Aug 2022
Data Processing
Data Processing - Tabular Data
Exploratory data analysis of AMEX Default Prediction Train Data using Dask
How to process a large csv file with pandas and parquet
Data Processing - Image Data
Mayo Clinic - STRIP AI - Exploratory data analysis and Image processing with Pillow (PIL)
Data Processing - Video Data
DFL Exploratory Data Analysis and Video Processing
Feature Engineering
tsfresh Introduction
1. tsfresh walk through (Part I)
2. tsfresh quick walk through (Part II)
3. tsfresh quick walk through (Part III)
4. Simple LightGBM model with tsfresh features
Wavelet Transforms
1. PyWavelets - Wavelet Transforms in Python
Feature Selection
Summary of advanced feature selection methods - Jul 2022
Accurate and fast feature selection workflow for high-dimensional omics data
Hyperparameter Tuning
hyperparameter tuning packages
Model Selection
Model Performance Evaluation Metrics for Classification Problems
Miscellaneous
custom auc fuction for xgboost and lightgbm models
Imbalanced Binary Classification
Matthews correlation coefficient
Max Information Coefficient (MIC)
Multi-class vs Multi-label Classification
Deep Learning
Literature Review
Kaggle Notes
Deep Learning Models
Temporal Convolutional Network (TCN)
1. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
2. Temporal Convolutional Networks for the Advance Prediction of ENSO
TabNet - Attentive Interpretable Tabular Learning
1. TabNet - Deep Neural Network Learning package based on pytorch
2. TabNet - simple binary classification
3. Tabnet hyperparamter tuning with hyperopt - regression
Transfer Learning
Mayo Clinic - STRIP AI - Transfer Learning with pytorch pretrained resnet
Reinforcement Learning
Q-learning
Financial Machine Learning
Quantative Finance Packages in Python - Aug 2022
Portfolio Management
Portfolio Optimization
Time Series
Deep Adaptive Input Normalization for Time Series Forecasting
Temporal covariate shift
Time series data split for cross validation
A comparison of machine learning model validation schemes for non-stationary time series data
Kaggle Competitions
Kaggle Time Series Competitions and Solutions (1)
Technical Analysis
Cheol-Ho Park and Scott H. Irwin. The Profitability of Technical Analysis: A Review (Part I)
Regime shift in time series data
Markov switching dynamic regression models
Predicting regime shift in time series data - Literature review
Time series anomaly detection
1. Notes on installing Merlion
2. Anomaly Detection with Salesforce Merlion Package - Unsupervised anomaly detection
3. Anomaly Detection with Salesforce Merlion Package - Unsupervised learning with Isolation Forest, VAE, and Ensemble
Technical Indicators
TASC - The Traders Tips section
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3_machine_learning
6_miscellaneous
multiclass_vs_multilabel.md
Multi-class vs Multi-label Classification
Jan 8, 2021
Reference:
https://gombru.github.io/2018/05/23/cross_entropy_loss/
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