lp-dataninja Goto Github PK

ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

allstate

Kaggle's Allstate Purchase Prediction Challenge

applied-mlops

building-ml-pipeline

code_snippets

containerize-your-apps-with-docker-and-kubernetes

Containerize your Apps with Docker and Kubernetes, published by Packt

data-science--cheat-sheet

Cheat Sheets

deep-learning_best-practices

deploy-machine-learning-model

Dockerize and deploy machine learning model as REST API using Flask

django-2-by-example

Django 2 by Example, published by Packt

educate-resource-for-machine-learning

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

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

feathub

FeatHub - A stream-batch unified feature store for real-time machine learning

full-stack-data-science

Full Stack Data Science in Python

hands-on-enterprise-application-development-with-python

Hands-On Enterprise Application Development with Python, published by Packt

hands-on-enterprise-automation-with-python

Hands-On Enterprise Automation with Python, published by Packt

hands-on-natural-language-processing-with-pytorch

Hands-On Natural Language Processing with Pytorch [Video], by Packt Publishing

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.

hydpy-24-12-18

indigo

:ramen: Minimalist Jekyll Template

kaggle

Code for Kaggle Competitions

kaggle-acquire-valued-shoppers-challenge

Kaggle code for Acquire Valued Shoppers Challenge

kaggle-malware

Kaggle 'Microsoft Malware Classification Challenge' 3rd place solution

kaggletils

kubernetes-ml-ops

An introduction to machine learning model deployment operations (MLOps) using Python, Docker, Kubernetes and Seldon-Core.

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

learningpyspark

Code base for the Learning PySpark book (in preparation)

lp-dataninja.github.io

Website | Portfolio

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.