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amazon-sagemaker-examples

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

augmentor

Image augmentation library in Python for machine learning.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

building-machine-learning-projects-with-tensorflow

Building Machine Learning Projects with TensorFlow by Packt

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

facets

Visualizations for machine learning datasets

feature-selector

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

few-shot

Repository for few-shot learning machine learning projects

hands-on-ml

Hands-On Maching Learning with Scikit-Learn & TensorFlow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

industry-machine-learning

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

interpretable-ml-book

Book about interpretable machine learning

introduction-to-scikit-learn

Machine Learning Modelling with Python and Scikit-Learn. An end-to-end Scikit-Learn worfklow Getting the data ready Choosing the right maching learning estimator/aglorithm/model for your problem Fitting your chosen machine learning model to data and using it to make a prediction Evaluting a machine learning model Improving predictions through experimentation (hyperparameter tuning) Saving and loading a pretrained model Putting it all together in a pipeline

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

khoalx

learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

lrf_tcc

TCC - PUC - MUNICÍPIOS BRASILEIROS E A LEI DE RESPONSABILIDADE FISCAL – ANÁLISE COM MODELOS DE MACHINE LEARNING

machine-learning

Code & Data for Introduction to Machine Learning with Scikit-Learn

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-nazarpechka

My path of getting into maching learning with Python (scikit, keras, then tensorflow)

machine-learning-nd

Udacity's Machine Learning Nanodegree project files and notes.

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

machine-learning-open-source

Monthly Series - Machine Learning Top 10 Open Source Projects

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine-learning-projects

Machine Learning Experiments and Work