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11-projects-to-datascience

In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-llms-fine-tuning

Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!

aws-machine-learning-specialty

AWS Machine Learning-Specialty- my notes

awsdeepracer

big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

book-amazon-python-for-finance-and-algorithmic-trading

bytebytego

cfa

FRM & CFA study notes

content-aws-mls-c01

AWS Certified Machine Learning - Specialty (MLS-C01)

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data_science_marathon

Python 資料科學程式馬拉松

devsecops

editor.md

The open source embeddable online markdown editor (component).

examples

TensorFlow examples

feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

featureengineering

Feature Engineering for Machine Learning, Soledad Galli

front-end-checklist

🗂 The perfect Front-End Checklist for modern websites and meticulous developers

hands-on-data-science-and-python-machine-learning

Hands-On Data Science and Python Machine Learning, published by Packt

handson-ml3

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.

hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

interview

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

js_project

klayers

Python Packages as AWS Lambda Layers

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.

lambda-packs

Precompiled packages for AWS Lambda

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.