Data-Science-and-Machine-Learning-Resources
List of Data Science and Machine Learning Resource that I frequently use
https://github.com/nishitpatel01/Data-Science-and-Machine-Learning-Resources
Last synced: 2 days ago
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- The Learning Machine
- Open Source Audio datasets
- Open Source Audio datasets
- The Learning Machine
- Towards Data Science
- The Learning Machine
- Open Source Audio datasets
- The Learning Machine
- Netflix Tech Blog for Data Science
- Open Source Audio datasets
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- Distillation - step by step
- Language Models are Few-Shot Learners
- The Learning Machine
- Open Source Audio datasets
- Towards Data Science
- The Learning Machine
- Netflix Tech Blog for Data Science
- Open Source Audio datasets
- Scaling Laws for Neural Language Models
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- The Learning Machine
- Open Source Audio datasets
- Awesome LLM
- Data Science Specialization Course Notes
- Open AI Blog
- Netflix Tech Blog for Data Science
- Open Source Audio datasets
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- Towards Data Science
- Netflix Tech Blog for Data Science
- Towards Data Science
- Open Source Audio datasets
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- The Learning Machine
- The Learning Machine
- The Illustrated Transformer
- Visual Guide to Transformer Neural Networks
- Understanding Large Language Models
- Transformer models: an introduction and catalog — 2023 Edition
- Fine-tuning LLMs
- Attention is all you need
- BERTL Pre-training of Deep Biirectional transformers for Language Understanding
- Paramter-Efficient Transfer Learning for NLP
- Distillation - step by step
- SQL-PaLM: IMPROVED LARGE LANGUAGE MODEL ADAPTATION FOR TEXT-TO-SQL
- Language Models are Few-Shot Learners
- FINETUNED LANGUAGE MODELS ARE ZERO-SHOT LEARNERS
- Large Language Models are Zero-Shot Reasoners
- Scaling Laws for Neural Language Models
- REACT: SYNERGIZING REASONING AND ACTING INLANGUAGE MODELS
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- Data Science Central
- Towards Data Science
- Data Science Plus
- Listen Data
- Various Data Science Tutorials
- Data Science Cheat Sheet
- R Cookbook
- R Blogdown
- ggplot2
- Headley Wickham
- Advance R
- R Package Documentation
- Parallel Processing in R
- Learn Python Org
- Python Graph Gallery
- Automate Stuff with Python
- Python from NSA
- Awesome Python
- Awesome Python Github
- Real Python
- Function Decorators
- kdnuggets
- Kaggle
- Math Works
- In depth introduction to machine learning - Hastie & Tibshirani
- UC Business Analytics R programming guide
- Machine Learning from CMU
- ML Cheatsheet - Stanford CS229
- The Learning Machine
- Machine Learning Plus
- Machine Learning Resources from Sebastian Raschka
- Machine Learning Crash Course
- Machine Learning Glossary
- Awesome Machine Learning
- Machine Learning for beginners
- Curated Machine Learning Resources
- Machine Learning Toolbox
- Rules of Machine Learning: Best Practices for ML Engineering from Google
- Fairness and Machine Learning
- Awesome AI: A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
- MLOps References - Curated list of MLOps resources
- Industrialization of ML Model
- Applied Modern Statistical Learning Techniques
- Probability Theory & Mathematical Statistics
- Applied Data Mining and Statistical Learning (PSU)
- Introduction fo Linear Algebra for Applied Machine Learnign with Python
- Statistics How To
- Probability Distributions in R
- Statistics Basics & Inference
- Numerical Analysis
- Deep Learning Papers and read
- Convolutional Neural Network for Visual Recognition
- A simple introduction of ANN
- UFLDL DeepLearning Tutorials
- Classification Results using Deep Learing
- Deep Learning Book
- Deep Learning Examples in PyTorch by Nvidia
- Deep Learning Examples in TensorFlow by Nvidia
- Curve Detectors
- Deep Learning Drizzle
- Andrej Karpathy
- Dive into Deep Learning
- Practical Deep Learning by Fasi.ai
- Transformers from Scratch
- How To Identify Patterns in Time Series Data
- Applied Time Series Characteristics
- CausalImpact using Baysian structure time series
- Time Series Notes (Oregon State University)
- Extracting Seasonality and Trend from Data: Decomposition using R
- Document Classification: 7 pragmatic approaches for small datasets
- Collection of Colab notebook based on deep learning & transformer models
- NLP on Spark
- NLP Index
- Seaborn pair plots
- D3 js examples newer version
- A Comprehensive guide to data exploration
- Regression (Glm)
- Forecasting using Time Series
- Types of Regressions
- Hidden Markov Models
- HMM Example: Dishonest Casino
- Hidden Markov Model Notes
- Kernals Trick(SVM)
- Boosting
- Big Data - Cognitive AI
- Hadoop Ecosystem Table
- Data Scientist's guide to Apache Spark
- Chris Albon
- DS Lore
- Zack Stewart
- David Robinson
- Simply Statistics
- Citizen Statistics
- Civil Statistian
- R Weekly Org
- Edwin Chen's Blog
- R Statistcis co
- Data Science and Robots - Brandon Rohrer
- Lavanya.ai
- Data Flair
- Data36
- AI Show
- Distill.pub
- Jay Alammar - Blog on NLP and Deep Learning
- Netflix Tech Blog for Data Science
- AirBnb Engineering & Data Science
- Facebook Research
- The Yhat Blog
- Uber Engineering
- CS 229 ― Machine Learning
- Stat202 - Data Mining and analysis
- Columbia University Applied Machine Learning by Andreas Muller
- Fig Share
- Quora
- Public Data Sources
- Our World Data
- KDNuggets datasets
- Jerry Smith - Data Science Insights
- Data Quest
- Amazon Product Data
- Sentiment Analysis Datasets
- Machine Learning A-Z: Download Practice Datasets
- Data Hub
- Collection of NLP datasets
- Open Source Audio datasets
- Ted Talks - Making sense of too much data
- Machine learning and Data Science Books
- Time Series Analysis using R
- Free programming ebooks
- Machine Learning
- 65 Free machine learnign and data books
- Free Programming and ML pdf books
- Approaching any machine learning problem
- Machine Learning Cheat Sheet in R
- Browse State of the art
- Data Science Projects
- Churn Prediction & Survival Analysis
- Stanford Machine Learning Projects
- Amazon Science Reasearch and blog
- Machine Learning Questions
- Graph database for beginners
- Top Github Repos
- Survival Regression with Sci-kit learn
- Evaluating Survival Regression
- Jupyter Notebook by Domain
- Data Science Interview Questions - Springboard
- Software/ML Engineer Interview Prep
- Tech Interview Handbook
- DS Interview Questions-Answers
- Interview Query
- Data Skeptic by Kyle Polich
- Linear Diagressions
- Geeks for Geeks
- Program Creek
- Career Cup
- A Gentle Introduction to Algorithm Complexity Analysis
- Always be Coding
- Python for Algorithms & Data Structure - Interview
- Skilled.dev
- Big O Cheatsheet
- Interview Cake (Glossary)
- Algorithm & Coding Interviews
- SDE Skills
- SYSTEM DESIGN INTERVIEW- AN INSIDER'S GUIDE
- Git Explorer
- Git Cheatsheet
- Towards Data Science
- Netflix Tech Blog for Data Science
- Open Source Audio datasets
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- Data Science News
- The Learning Machine
- Open Source Audio datasets
- Dataframed by Datacamp
- Towards Data Science
- The Learning Machine
- Open Source Audio datasets
- LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attension
- Towards Data Science
- The Learning Machine
- Open AI Blog
- Netflix Tech Blog for Data Science
- Open Source Audio datasets
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- The Learning Machine
- Google Reseatch 2021: Themes and beyond
- Netflix Tech Blog for Data Science
- John Snow Labs NLP & Healthcare datasets
- Open Source Audio datasets
- Top Github Repos
- DS Interview Questions-Answers
- 65 Free machine learnign and data books
- Towards Data Science
- The Learning Machine
- Open Source Audio datasets
- Towards Data Science
- The Learning Machine
- Andrew Gelman
- Netflix Tech Blog for Data Science
- Open Source Audio datasets
- 65 Free machine learnign and data books
- Top Github Repos
- DS Interview Questions-Answers
- The Learning Machine
- The Learning Machine
- Open Source Audio datasets
- Open Source Audio datasets
- Tech Interview Handbook
- The Learning Machine
- Open Source Audio datasets
- FINETUNED LANGUAGE MODELS ARE ZERO-SHOT LEARNERS
- The Learning Machine
- The Learning Machine
- Open Source Audio datasets
- The Learning Machine
- Seeing Theory
- Open Source Audio datasets
- Attention is all you need
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