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Name: Philippe Yeonathan Bouaziz
Type: User
Company: Bouaziz Data Consulting
Bio: After the completion of my Ph.D. at ENS, Paris with cum-laude distinction, I'm working as a data scientist.
Location: Paris
Name: Philippe Yeonathan Bouaziz
Type: User
Company: Bouaziz Data Consulting
Bio: After the completion of my Ph.D. at ENS, Paris with cum-laude distinction, I'm working as a data scientist.
Location: Paris
Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook
A collection of the best autoML tools with python codes.
python code to do bootstraps, wrapping fast C code
Transfer learning using ResNet50 model on Caltech 101 object dataset for image classification
Playing with HackerRank 30 Challenge using Clojure, Java, Python, C++, and JavaScript
Data Science Course at General Assembly San Francisco
Course files for the Microsoft data Science Essentials Course
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.
Tutorials for DataCamp (www.datacamp.com)
All the learning material for deep learning bootcamp can be found in this repository
Source repo for Docker's Documentation
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
A Machine Learning Prediction Algorithm
Prediction of laboratory earthquakes using lab recorded data.
EntroPy: complexity of (EEG) time-series in Python
R package that extends ggplot2
tutorial 01
Predict sales prices and practice feature engineering, RFs, and gradient boosting
Demonstrations of JupyterLab
This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube
This repository contains codes associated with machine learning aiming to separate earthquakes signal from nuclear explosions.
PCA
Exercise notebooks for Machine Learning modules on Microsoft Learn
A machine learning notebook on VScode for beginners using the KNN algo with IRIS dataset
Code samples for the ML Crash Course learning path.
Code samples for the ML Crash Course learning path.
Azure Machine Learning Lab Notebooks
Lab files for Azure Machine Learning exercises
Code used in Microsoft Learn modules to support Azure DevOps
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.