Notes

Useful information, templates, and notes.

These are useful notes and templates I have created for information and future use.

Flask App.

  • Flask app local and live. —> GitHub

AWS Lambda Function.

  • AWS Lambda Function. —> GitHub

SQL Commands.

Docker Commands.

  • Docker Processes and Notes. —> GitHub

Web Scraping.

  • Web Scraping Notes. —> GitHub

Data Encoding.

  • Categorical Encoding Notes. —> GitHub

Algorithm Analysis.

  • Big O Notation Notes. —> GitHub

Python Pickling.

  • Python Pickling Notes. —> GitHub

Natural Language Processing.

Classification Models.

  • Sklearn Logistic Regression. —> GitHub

  • Sklearn RandomForest Classification. —> GitHub

  • XGBoost Classification. —> GitHub

Regression Models.

  • SKlearn Single+Mulit Linear Regression. —> GitHub

  • SKlearn Polynomial Regression. —> GitHub

  • SKlearn Random Forest Regression. —> GitHub

  • XGBoost Regression. —> GitHub

K-Fold Cross-Validation.

  • SKlearn KFold Cross-Validation. —> GitHub

Neural Networks.

  • Keras Feed Forward (MLP) Neural Network. —> GitHub

  • Keras Recurrent (RNN) Neural Network. —> GitHub

  • Keras Convolutional (CNN) Neural Network. —> GitHub

Computer Vision.

  • OpenCV Object Detection. —> GitHub

  • OpenCV Facial Detection. —> GitHub

  • OpenCV Facial Recognition. —> GitHub

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