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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

courses

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

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.

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

fastapi-ml-deplyment

hackerrank_python

hexo

A fast, simple & powerful blog framework, powered by Node.js.

hiscox_data_challenge

Stock Price in R

hiscox_dc_19

A repository to hold work done on the Hiscox data challenge for 2019

keras

Deep Learning for humans

knitr

A general-purpose tool for dynamic report generation in R

leetcode_python

luliudata.github.io

Lu's personal website

minimal

Minimal is a Jekyll theme for GitHub Pages

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

ml

经典机器学习算法的极简实现

mlops-zoomcamp-2024

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

price_paid_data_pipeline

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

rapid-prototyping-app-engine-yelp

Full code for walkthrough: http://amunategui.github.io/rapid-prototyping-app-engine-yelp

scikit-learn

scikit-learn: machine learning in Python

semantic-versioning-plugin

Jenkins Plugin that generates a semantic version from a build definition file (SBT, POM). Sets a configurable environment variable with the version. Includes a Dashboard column plugin that displays the semantic version of the last successful build.

udacity_mle_capstone_project

udacity_mle_practice_project