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Summary of my Repositories with Hyperlinks. Lessons and Colab Demos are also included. SEMENDE 2023 (AI Talk) https://bit.ly/46UwTnD

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SUMMARY

  1. Apps - Bibliometric and Scientometric - Python
  2. Apps - Machine Learning - Python (Lesson Included)
  3. Apps - Multicriteria Decision Aids - Java/Python (Lesson Included)
  4. Apps - Operations Research - Java/Python (Lesson Included)
  5. Data Science - Association Rules - Python (Lesson Included)
  6. Data Science - Classification Algorithms - Python (Lesson Included)
  7. Data Science - Regression Algorithms - Python (Lesson Included)
  8. Data Science - Clustering Algorithms - Python (Lesson Included)
  9. Data Science - Decision Trees - Python (Lesson Included)
  10. Data Science - Recommender Systems - Python (Lesson Included)
  11. Data Science - Natural Language Processing - Python (Lesson Included)
  12. Data Science - Neural Networks - Python (Lesson Included)
  13. Data Science - Reinforcement Learning - Python (Lesson Included)
  14. Data Science - Deep Reinforcement Learning - Python (Lesson Included)
  15. Forecasting - Python
  16. Multivariate Data Analysis - R and SPSS (Lesson Included)
  17. Others - Python

Apps - Bibliometric and Scientometric

  • pyBibX: A Bibliometric and Scientometric Python Library Powered with Artificial Intelligence Tools

  • pyAutoSummarizer: A Extrative and Abstractive Summarization Library Powered with Artificial Intelligence

Apps - Machine Learning

Apps - Multicriteria Decision Aids

Apps - Operations Research

  • J-Horizon : A Vehicle Routing Problem Software. CVRP (Capacitated VRP), MDVRP (Multiple Depot VRP), VRPTW (VRP with Time Windows), VRPB (VRP with Backhauls), VRPPD (VRP with Pickups and Deliveries), VRP with Homogeneous or Heterogeneous Fleet, TSP, mTSP and various combination of these types

  • J-EOQ-SA : EOQ (Economic Order Quantity) for a single product with No Discounts, All Units or Incremental Discounts and with or without Backorders

  • pyMetaheuristic : A library that implements Metaheuristics to solve single objective problems. GA Lesson

  • pyMultiobjective : A library that implements Multiobjective Optimization Algorithms and Many Objectives Optimization Algorithms

  • pyCombinatorial : A library to solve the TSP (Travelling Salesman Problem) using Exact Algorithms, Heuristics and Metaheuristics

  • pyVRP : A python library that solves, using Genetic Algorithms, many VRP Problems ( Capacitated VRP; Multiple Depot VRP; VRP with Time Windows; VRP with Heterogeneous Fleet; VRP with Infinite Fleet; Open VRP; TSP; mTSP and various combination of these types). GA for VRP Lesson

  • pyID : A python library that implements many Intermittent Demand Methods (Croston; SBA; SBJ; TSB; HES; LES and SES)

Data Science - Association Rules

Data Science - Classification Algorithms

Data Science - Regression Algorithms

Data Science - Clustering Algorithms

Data Science - Decision Trees

Data Science - Recommender Systems

Data Science - Natural Language Processing

Data Science - Neural Networks

Data Science - Reinforcement Learning

Data Science - Deep Reinforcement Learning

Forecasting

  • Forecasting Lessons :
    • Lesson 01 - Introduction to Forecasting
    • Lesson 02 - Time Series Decomposition
    • Lesson 03 - Holt's Method
    • Lesson 04 - Holt-Winters' Method
    • Lesson 05 - Multiple Linear Regression
    • Lesson 06 - Logistic Regression
  • Moving Averages : Calculates the Centered Moving Average (Weighted, Simple or Exponential) of a Time Series
  • Decomposition : Decomposition of Timeseries Using the X-11 Algorithm
  • Holt Method : Calculates the Additive or Multiplicative Holt's Method for Time Series with Trend
  • Holt-Winters Method : Calculates the Additive or Multiplicative Holt-Winters' Method for Time Series with Trend and Seasonality

Multivariate Data Analysis

Others

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