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100-days-of-ml-code

A repository dedicated to the #100DaysOfMLCode challenge

100-days-of-ml-code-1

100 Days of ML Coding

amazon-sagemaker-examples

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

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

aws

INACTIVE - please go to https://gitlab.com/juliensimon/aws

aws-sagemaker-workshops

Repository for SageMaker Workshops Website.

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

course_aws_certified_machine_learning

dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

data-science--cheat-sheet

Cheat Sheets

data-science-best-resources

Carefully curated resource links for data science in one place

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.

datagotham2013

datascienceresources

Open Source Data Science Resources.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeppy

Deep learning in Python

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

github-slideshow

A robot powered training repository :robot:

homemade-machine-learning

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

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

interp-exp

Interpretability experiments

kaggledays-paris

Winning Solution to the Kaggle Days Paris offline competition

linear-algebra

Linear Algebra

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-day_1

Day 1 of Lambda School's Machine Learning Mini Bootcamp

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

mlcc

This repository is created to teach students about Machine Learning and Deep Learning using TensorFlow.

my-world