Shanmuganathan2004

Shanmuganathan2004's Stars

• Karan60/Projects-for-Instagram

  Language:HTML30651

• se7en69/AR01-BioArrayExplorer

  Microarray Dataset Analysis App offers metadata exploration, counts data analysis, differential expression analysis, and gene set enrichment analysis, providing a user-friendly interface and downloadable results for convenient analysis and sharing.

  Language:R1

• krishnaik06/Data-Science-Projects-For-Resumes

  1.2k380

• krishnaik06/The-Grand-Complete-Data-Science-Materials

  Language:Python6.6k3.4k

• hudson-and-thames/arbitragelab

  ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

  Language:Python476151

• ujjwalkarn/DataScienceR

  a curated list of R tutorials for Data Science, NLP and Machine Learning

  Language:R2k888

• nborwankar/LearnDataScience

  Open Content for self-directed learning in data science

  Language:Jupyter Notebook3k1.7k

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k1k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k1.9k

• georgearun/Data-Science--Cheat-Sheet

  Cheat Sheets

  7748.7k

• drivendataorg/cookiecutter-data-science

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  Language:Python8.2k2.4k

• jonathan-bower/DataScienceResources

  Open Source Data Science Resources.

  4.1k1.5k

• joelgrus/data-science-from-scratch

  code for Data Science From Scratch book

  Language:Python8.6k4.5k

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook27.6k5.7k

• ossu/data-science

  📊 Path to a free self-taught education in Data Science!

  18.8k3.3k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.1k7.8k

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook42.7k17.8k

• FavioVazquez/ds-cheatsheets

  List of Data Science Cheatsheets to rule the world

  14.4k3.8k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.2k2.6k

• ashishpatel26/devika

  Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

  12

• ashishpatel26/ashishpatelcv

  My CV details

  113

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  19.5k5k

• krishnaik06/AI-Engineer-Roadmap-2024

  491171

• lsvekis/JavaScript-Exercises-Book

  4315

• lsvekis/Coding-with-Google-Apps-Script

  Coding with Google Apps Script Book Source Code

  277

• krishnaik06/Data-Science-Gen-AI-Playlist-2024

  594135

• network-evolution/Python_for_Network_Engineers

  This repo contains Scripts which are explained in the youtube Channel https://www.youtube.com/c/NetworkEvolution/videos?sub_confirmation=1

  Language:Python9748

• PacktPublishing/Data-Science-and-Machine-Learning-Theory-and-Projects-A-to-Z

  Language:Jupyter Notebook3830

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.3k641

• mszell/introdatasci

  Course materials for: Introduction to Data Science and Programming

  Language:Jupyter Notebook12018