--- # i.mlearning **i.mlearning** is a comprehensive toolkit designed to standardize and streamline machine learning for the web. ## Getting Started To begin using **i.mlearning**, follow these steps: 1. **Install the Package**: Run the following command to install **i.mlearning** via npm: ```bash npm install i.mlearning ``` 2. **Import and Use**: After installation, you can import and use **i.mlearning** in your project: ```javascript import mLearning from 'i.mlearning'; ``` --- 1. **Training set (**m_train**)**: This is the dataset you use to **teach** the machine learning algorithm. It contains both the **features** (the input data) and the **labels** (the correct output or the target). The algorithm uses this data to learn patterns, relationships, and the overall structure of the data. The model adjusts its internal parameters during training based on the comparison between the predicted output and the actual labels (this process is called **learning**). 2. **Test set (**m_test**)**: This is a separate dataset that you use to **evaluate** the performance of the model after it has been trained. The test set also contains both **features** and **labels**, but the key difference is that the algorithm has **not seen** this data during training. Once the model is trained on the training set, you run it on the test set and compare its predictions to the actual labels to assess how well it generalizes to new, unseen data. ---------- * You **train** the algorithm on the **training set**. * Then, you use the **test set** to evaluate how well the model learned by **comparing the predicted results** with the actual labels. * Both the training and test sets are **labeled** datasets, meaning they contain the correct answers or target values you are trying to predict. ----- # About All.This ###### Modular Data Structures **[this.me](https://suign.github.io/this.me) - [this.audio](https://suign.github.io/this.audio) - [this.text](https://suign.github.io/this.text) - [this.wallet](https://suign.github.io/this.wallet) - [this.img](https://suign.github.io/this.img) - [this.pixel](https://suign.github.io/Pixels) - [be.this](https://suign.github.io/be.this) - [this.DOM](https://suign.github.io/this.DOM) - [this.env](https://suign.github.io/this.env/) - [this.GUI](https://suign.github.io/this.GUI) - [this.be](https://suign.github.io/this.be) - [this.video](https://suign.github.io/this.video) - [this.atom](https://suign.github.io/this.atom) - [this.dictionaries](https://suign.github.io/this.dictionaries/)** These classes encapsulate the functionalities to **domain-specific data.** ## Neurons.me ### License & Policies - **License**: MIT License (see LICENSE for details). - **Privacy Policy**: Respects user privacy; no collection/storage of personal data. - **Terms of Usage**: Use responsibly. No guarantees/warranties provided. [Terms](https://www.neurons.me/terms-of-use) | [Privacy](https://www.neurons.me/privacy-policy) [neurons.me](https://neurons.me)