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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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  • 2_data_analytics
  • README.md

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

2022, xxxxyyyy80008 Revision 5688eea
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This Software is under the terms of The Unlicense.