https://github.com/maliknaik16/machine-learning
ML journey to explore concepts and framework through code and math. It serves as a personal log of my learning experiences, revisiting foundational topics, and delving into new areas within the field.
https://github.com/maliknaik16/machine-learning
autograd classification convolutional-neural-networks datasets distillation machine-learning matplotlib model model-optimization neural-network normalization numpy pandas python pytorch quantization regresssion tensors torchvision transformers
Last synced: 5 months ago
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ML journey to explore concepts and framework through code and math. It serves as a personal log of my learning experiences, revisiting foundational topics, and delving into new areas within the field.
- Host: GitHub
- URL: https://github.com/maliknaik16/machine-learning
- Owner: maliknaik16
- Created: 2020-09-17T17:23:23.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2025-03-11T05:24:07.000Z (7 months ago)
- Last Synced: 2025-03-11T06:25:18.235Z (7 months ago)
- Topics: autograd, classification, convolutional-neural-networks, datasets, distillation, machine-learning, matplotlib, model, model-optimization, neural-network, normalization, numpy, pandas, python, pytorch, quantization, regresssion, tensors, torchvision, transformers
- Language: Jupyter Notebook
- Homepage:
- Size: 3.78 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine Learning Journey
This repository contains the notebooks and scripts I've developed throughout my exploration of Machine Learning concepts and frameworks. It serves as a personal log of my learning experiences, revisiting foundational topics, and delving into new areas within the field.
[badge_url]: https://img.shields.io/badge/Open_Notebook-gray?style=flat&logo=jupyter&logoColor=red&logoSize=auto
## Getting Started
To get started with running these notebooks. Follow these steps:
Step 1: Clone the repo
```bash
git clone https://github.com/maliknaik16/machine-learning.git
```
Step 2: Activate the virtual environment
```bash
poetry shell
```
Step 3: Install all the dependencies
```bash
poetry install
```
Step 4: Add the environment to notebook
```bash
poetry run python -m ipykernel install --user --name=ml-notebooks
```
Step 5: Run jupyter notebook and use the `ml-notebooks` kernel
```bash
poetry run jupyter notebook
```
## Notebooks
**Glossary/Notes**: [](/Notes.ipynb)
### Basics
| **Title** | **Notebook** | **Date** |
|-----------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------|
| [PyTorch Tensors](/foundations/01_Basics/pytorch_tensors.ipynb) | [](/foundations/01_Basics/pytorch_tensors.ipynb) | 02/19/2025 |
| [PyTorch - Datasets & DataLoaders](/foundations/01_Basics/pytorch_dataloaders.ipynb) | [](/foundations/01_Basics/pytorch_dataloaders.ipynb) | 02/20/2025 |
| [PyTorch - Neural Network](/foundations/01_Basics/pytorch_neural_network.ipynb) | [](/foundations/01_Basics/pytorch_neural_network.ipynb) | 02/20/2025 |
| [PyTorch - Automatic Differentiation](/foundations/01_Basics/pytorch_automatic_differentiation.ipynb) | [](/foundations/01_Basics/pytorch_automatic_differentiation.ipynb) | 02/21/2025 |
| [PyTorch - Model Optimization](/foundations/01_Basics/pytorch_model_optimization.ipynb) | [](/foundations/01_Basics/pytorch_model_optimization.ipynb) | 02/22/2025 |
### Intermediate
| **Title** | **Notebook** | **Date** |
|--------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|
| [Convolutional Neural Networks (CNNs)](/foundations/02_Intermediate/pytorch_cnn.ipynb) | [](/foundations/02_Intermediate/pytorch_cnn.ipynb) | 02/22/2025 |
| [Transformers - Attention Is All You Need from Scratch](/foundations/02_Intermediate/attention_is_all_you_need.ipynb) | [](/foundations/02_Intermediate/attention_is_all_you_need.ipynb) | 02/24/2025 |