RpyGamer's repositories
2020_11_Monty
Remote repository for my smart Chatbot Monty
Linux-help
Most common Linux commands *__*
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
10-steps-to-become-a-data-scientist
In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
cloudml-samples
Cloud ML Engine is now a part of AI Platform
dlaicourse
Notebooks for learning deep learning
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Getting-started-with-TensorFlow-2
Getting started with TensorFlow 2 from coursera
Git-cheat-sheet
My Git cheat sheet saves me from learning all the commands by heart *_*
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.
hol-azure-machine-learning
Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage
kaggledays-paris
Winning Solution to the Kaggle Days Paris offline competition
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
openscoring
REST web service for the true real-time scoring (<1 ms) of R, Scikit-Learn and Apache Spark models
pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
Projet8-Openclassrooms
Déployez un modèle dans le cloud
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonForSASUsers
An Introduction to Python for SAS Users
reconnaissance-faciale
TP sur la reconnaissance faciale fonctionnant sur n'importe quelle machine (cf http://penseeartificielle.fr/tp-reconnaissance-faciale )
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).