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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

best-practices

cd4ml-workshop

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

code

ActiveState Code Recipes

coursera-intro-to-dl

Solutions to Introduction to Deep Learning - https://www.coursera.org/learn/intro-…

ctgan

Conditional GAN for generating synthetic tabular data.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

decimal-monkeypatch

Boostrap mechanism for monkey patches.

dependencies

A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.

depix

Recovers passwords from pixelized screenshots

educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

example-seldon

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

examples

A repository to host extended examples and tutorials

expert-python

A python advanced programming slide

face_recognition

The world's simplest facial recognition api for Python and the command line

fairing

Python SDK for building, training, and deploying ML models

fastai

The fastai deep learning library, plus lessons and and tutorials

fdk-python

Python Function Development Kit

featexp

Feature exploration for supervised learning

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fzwork

FZ's work

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

hate-speech-classification-deployed-using-flask

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

katacoda-notebooks

O'Reilly Katacoda

keras

Deep Learning for humans

kfp_samples

kfserving

Serverless Inferencing on Kubernetes