AutoML Toolbox for MATLAB 🚀

One-Time Purchase | Full Features Unlocked | No Subscriptions

Transform your MATLAB machine learning workflows with this all-in-one automated pipeline.
Perfect for data scientists, researchers, and engineers who want to save 10+ hours/week on repetitive ML tasks.

## What This Toolbox Does

Imagine a robot assistant for your machine learning work 🤖

1. You Give It Data

- Feed it your spreadsheet/CSV file (e.g., customer data, sensor readings)

- Tell it what to predict (e.g., "Will this customer churn?")

2. It Handles the Hard Parts

- Cleans messy data (fixes missing values, scales numbers)

- Tests 100+ model combinations automatically

- Picks the best settings (no manual tuning needed)

3. You Get Results

- Accuracy scores and charts 📊

- Ready-to-use model files

- Option to deploy to cloud with one click ☁️

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### Why It’s Useful

| Without This Toolbox | With This Toolbox |

|------------------------------------|---------------------------------------|

| ❌ Manually cleaning data for hours | ✅ Auto-cleaning in 2 clicks |

| ❌ Trial-and-error tuning | ✅ Optimized models automatically |

| ❌ Coding everything from scratch | ✅ Works like an "Easy Mode" button |

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### Simple Example

```matlab

% Step 1: Load your data

data = readtable('sales_data.csv');

% Step 2: Run everything with one command

results = runAutoMLPipeline(data, 'WillBuyAgain');

% Step 3: See the best model's performance

disp(results.BestModel.Accuracy);

```

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### Who It’s For

✔ Data Scientists – Skip repetitive coding

✔ Researchers – Faster experiments

✔ Students – Learn ML without frustration

✔ Companies – Standardize ML workflows

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### Key Benefits

🔹 Time Saver – Cuts weeks of work to days

🔹 No PhD Needed – Works out-of-the-box

🔹 All-in-One – From raw data to predictions

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### Technical Requirements

- MATLAB installed (like needing Word to open a .docx file)

- Basic dataset (Excel/CSV files work)

🔑 Key Features

✅ Automated Data Preprocessing

• Handle missing data (median/mode imputation)
• Smart feature scaling (robust/z-score)
• Categorical encoding (one-hot/target)

✅ Hyperparameter Tuning

• Bayesian optimization for Random Forest/Gradient Boosting
• 3x faster convergence vs manual tuning

✅ Model Evaluation Suite

• Accuracy, F1-Score, ROC curves, confusion matrices
• Exportable PDF/HTML reports

✅ Cloud Deployment

• 1-click deployment to AWS SageMaker
• Docker container support

✅ MIT License

• Use commercially forever after purchase

🛒 What You Get

• Instant access to zip including all files.
  
  💻 Installation
  1. Extract zip somewhere.
  2. Run Setup:matlab

     run('path/to/toolboxSetup.m');  

  3. Start Using:matlab

     results = runAutoMLPipeline(data, labels);  

  
  
• Q: What MATLAB versions are supported?
  A: R2020b and newer
  
  🔒 LegalNot affiliated with MathWorks®. Requires valid MATLAB license. Redistribution prohibited.