Explore 70+ Model Articles: From Differential Equations to Deep Learning

To help students locate model articles by category, this page compiles recent model articles covering variation models and prediction models.

1. Variation Models

Model 12 – Differential Equation: Farm Problem

Model 13 – Differential Equation: Weight‑Loss Problem

Model 14 – Differential Equation: Discrete Inhibited Growth Model

Model 15 – Differential Equation: Yeast Growth

Model 16 – Differential Equation: Chromosome Inheritance Model

Model 17 – Differential Equation: Drug Distribution in the Body

Model 18 – Differential Equation: Inter‑species Competition

2. Prediction Models

2.1 Time Series

Model 18 – Concept of Time Series

Model 20 – Exponential Smoothing Method

Model 21 – Seasonal Time Series Forecasting

Model 22 – Stationary Time Series Concept

Model 23 – ARMA

Model 24 – Building ARMA Models

Model 25 – ARMA Forecasting

Model 26 – ARMA Python Solution

Model 27 – Non‑Stationary Time Series

Model 55 – Identification of Stationary Random Time Series

Model 56 – Testing Stationary Random Time Series

Model 58 – Vector Autoregression

Model 59 – Prophet Model (with Python code)

2.2 Machine Learning

Model 28 – Overview of Machine Learning

Model 30 – Machine Learning Process, Types, Applications

Model 31 – Machine Learning Journey

Model 32 – Supervised Learning Example

Model 33 – Support Vector Machine Basics

Model 34 – Generalized Linear SVM

Model 35 – Non‑Linear SVM

Model 36 – Support Vector Regression

Model 37 – SVM Applications

Model 38 – Introduction to Artificial Neural Networks

Model 41 – Ten Key Concepts in Machine Learning

Model 43 – Deep Learning with Keras: Multilayer Perceptron

Model 44 – Deep Learning with Keras Sequential API for Regression

Model 50 – Deep Learning: Convolutional Neural Networks

Model 51 – Deep Learning: Recurrent Neural Networks

Model 65 – Ensemble Learning Overview

Model 66 – AdaBoost Principle

Model 66 – XGBoost Implementation (Python)

Model 67 – LightGBM Implementation (Python)

Model 68 – LSTM Theory and Implementation

Model 69 – Bayesian Personalized Ranking (BPR) Algorithm

Model 69 – LSTM for Air Pollution Prediction

Model 70 – SimRank Collaborative Filtering

Model 70 – Using Sklearn to Impute Missing Values

2.3 Grey Forecasting

Model 12 – Concept of Grey Forecasting

Model 13 – GM(1,1) Grey Model

Model 15 – GM(1,N) Grey Model

Model 16 – GM(1,N) Example (Python code)

Model 17 – GM(2,1) Example (Python code)

More model articles can be found in other posts of this public account.