anand086
Avid learner of technology solutions around Machine Learning, Big-Data, and Databases
Seattle
anand086's Stars
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ctgk/PRML
PRML algorithms implemented in Python
doccano/doccano
Open source annotation tool for machine learning practitioners.
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
aws/aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
zackchase/mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Machine-Learning-Tokyo/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
dynamodb-toolbox/dynamodb-toolbox
Lightweight and type-safe query builder for DynamoDB and TypeScript
campusx-official/100-days-of-machine-learning
practical-nlp/practical-nlp-code
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
aws-samples/amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
amazon-archives/realworld-serverless-application
This project is inspired by the design and development of the AWS Serverless Application Repository - a production-grade AWS service. Learn how AWS built a production service using serverless technologies.
stefmolin/Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
rebecca-vickery/data-science-learning-resources
A comprehensive list of free resources for learning data science
drivendataorg/deon
A command line tool to easily add an ethics checklist to your data science projects.
Deffro/text-preprocessing-techniques
16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
aws-samples/data-engineering-for-aws-immersion-day
Lab Instructions for Data Engineering Immersion Day
chendaniely/pydatadc_2018-tidy
PyData 2018 tutorial for tidying data
StephenElston/ExploringDataWithPython
Methods of data exploration and visualization using Python.
rickwierenga/MLFundamentals
Notebooks for the "ML from the Fundamentals" series
FredaXin/eda_and_beyond
Library of automation tools for EDA and modeling
MLWorkshops/nlp-dealing-with-text-data
Using SpaCy to deal with text data such tokenization, normalization and labeling including ethics review.
corvuslee/public
Personal projects
neonwatty/nonlinear_meetup_talk