gopi3e's Stars
LearningJournal/Spark-Programming-In-Python
Apache Spark 3 - Spark Programming in Python for Beginners
spark-examples/pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
krishnaik06/Pyspark-With-Python
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
microsoft/code-with-engineering-playbook
This is the playbook for "code-with" customer or partner engagements
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
aavail/ai-workflow-capstone-soln
Repo for solution files for capstone project of AI enterprise workflow course on Coursera
docker/labs
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
aavail/ai-workflow-capstone
IBM AI Enterprise Workflow Capstone
watson-developer-cloud/python-sdk
:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
IBM/credit-risk-analysis-with-cognos-analytics-and-watson-studio
Explore integration between Watson Studio and Cognos Analytics
SharmaNatasha/Machine-Learning-using-Python
Open Machine learning Projects
anuragrana/Python-Scripts
Collection of Python scripts
rfink/angular-vin
VIN (vehicle identification number) validator and input directive
udacity/machine-learning
Content for Udacity's Machine Learning curriculum
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
alexeygrigorev/data-science-interviews
Data science interview questions and answers
j-w-yun/optimizer-visualization
Visualize Tensorflow's optimizers.
bfortuner/ml-glossary
Machine learning glossary
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
mthenw/awesome-layers
λ A curated list of awesome AWS Lambda Layers. Sponsored by https://cloudash.dev
brennerm/PyTricks
Collection of less popular features and tricks for the Python programming language
ddofer/ProFET
ProFET: Protein Feature Engineering Toolkit for Machine Learning
ryfeus/lambda-packs
Precompiled packages for AWS Lambda
aws-samples/amazon-textract-textractor
Analyze documents with Amazon Textract and generate output in multiple formats.
aws-samples/amazon-textract-code-samples
Amazon Textract Code Samples
mikemaccana/python-docx
Reads, queries and modifies Microsoft Word 2007/2008 docx files.
stephinmon/stephin_dev
saugatapaul1010/Amazon-Fine-Food-Reviews-Analysis
This repository contains a series of experiments performed on the Amazon Reviews dataset. This includes data visualization techniques like PCA and T-SNE. It also includes curating, de-duping and cleaning the dataset to perform a series of NLP related tasks. You will learn about a series of models which includes KNN, Naive Bayes, Logistic Regression, SVMs, Decision Trees, GBDTs, XGBoosts, Random Forests etc. You weill also learn about applying clustering techniques like KMeans, Agglomerative clustering and DBSCAN. You will further learn about Matrix Factorization usng Truncated SVD followed by KMeans clustering.
s3fs-fuse/s3fs-fuse
FUSE-based file system backed by Amazon S3