Loading repository data…
aarinsheik / repository
In this repository, you'll find Python implementations of machine learning basics. Using Pandas, Scikit-learn, and Kaggle datasets, you can learn linear regression and progress to advanced algorithms. Interactive Jupyter notebooks make comprehension easy .Source of Learning was from 'CodeBasics' youtube Channel
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
In this repository, you'll find Python implementations of machine learning basics. Using Pandas, Scikit-learn, and Kaggle datasets, you can learn linear regression and progress to advanced algorithms. Interactive Jupyter notebooks make comprehension easy .Source of Learning was from 'CodeBasics' youtube Channel
Selected from shared topics, language and repository description—not editorial ratings.
milaan9 /
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
81/100 healthlaxmimerit /
This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.
62/100 healthdatainsightat /
Explore the world of Large Language Models (LLMs) with this introductory repository. Learn about LLM architectures, pre-training, fine-tuning techniques, popular models, and their applications. Delve into their limitations and ethical considerations using hands-on Jupyter notebooks.
51/100 healthprofConradi /
In the last few years, I have developed a lot of Jupyter notebooks to draw fractals. In this repository, I will gradually share them. Creative Commons Attribution-ShareAlike 4.0 International License.
60/100 healthChaitanyaK77 /
This Repository provides a Jupyter Notebook for building a small language model from scratch using 'TinyStories' dataset. Covers data preprocessing, BPE tokenization, binary storage, GPU memory management, and training a Transformer in PyTorch. Generate sample stories to test your model. Ideal for learning NLP and PyTorch.
81/100 healthmalyginvladimir /
This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance.
61/100 health