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data-analysis-using-python

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

data-analysis-with-databricks-sql

data-engineer-learning-path

data-engineering-tools

A list of tools and whatnot under the umbrella of Data Engineering

data-engineering-with-databricks-english

data-police-shootings

The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since 2015.

data-science--cheat-sheet

Cheat Sheets

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.

data_analysis

data_sets

databases

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningbookcode-volume1

Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningforaudiowithpython

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

deepplaybyplay

Labelling NBA action using deep learning :basketball:

deploy-machine-learning-model

Dockerize and deploy machine learning model as REST API using Flask

design-patterns-in-python

Common GOF Patterns implemented in Python

devops-tools

A repository of tools used for Data Science, Machine Learning, Deep Learning, Data Engineering, and DataOps revolving around reproducibility and compatability across operating systems

dltfpt

Deep Learning with TensorFlow Keras, and PyTorch

dockerfiles

documenting-your-code

draft-class-shooters-ml

Using machine learning to predict the top shooters in the 2018 draft.

efficient-distributed-hyperparameter-tuning-with-apache-spark

Data + AI Summit 2021 demo notebooks

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

election-data

epvdemo

Demo of NBA Expected Possession Value model

examples

Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.