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.

Getting Started

To get started with running these notebooks. Follow these steps:

Step 1: Clone the repo

git clone https://github.com/maliknaik16/machine-learning.git

Step 2: Activate the virtual environment

poetry shell

Step 3: Install all the dependencies

poetry install

Step 4: Add the environment to notebook

poetry run python -m ipykernel install --user --name=ml-notebooks

Step 5: Run jupyter notebook and use the ml-notebooks kernel

poetry run jupyter notebook

Notebooks

Glossary/Notes:

Basics

Title	Notebook	Date
PyTorch Tensors		02/19/2025
PyTorch - Datasets & DataLoaders		02/20/2025
PyTorch - Neural Network		02/20/2025
PyTorch - Automatic Differentiation		02/21/2025
PyTorch - Model Optimization		02/22/2025

Intermediate

Title	Notebook	Date
Convolutional Neural Networks (CNNs)		02/22/2025
Transformers - Attention Is All You Need from Scratch		02/24/2025