rmissaoui Goto Github PK
Name: Ramzi Missaoui
Type: User
Bio: Télécom Paris & École Polytechnique
Location: Paris
Name: Ramzi Missaoui
Type: User
Bio: Télécom Paris & École Polytechnique
Location: Paris
2017-controverses-groupe-3-court-metrage-video created by GitHub Classroom
An introduction to Bayesian machine learning through a collection of notebooks
ALAD (Proceedings of IEEE ICDM 2018) official code
implementation, training and test of a Neural Network for the Handwritten Digits Recognition problem with different settings of hyperparameters. The dataset used here is The MNIST dataset which was constructed from scanned documents available from the National Institute of Standards and Technology (NIST). Images of digits were taken from a variety of scanned documents, normalized in size and centered.
Implementation of visual search using Bags of Visual Words with SIFT detectors. Implementation of Neural Networks for object recognition. Labs and final projects from the corresponding ENS Ulm courses by Jean Ponce, Ivan Laptev, and Cordelia Schmidt
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.
datacamp challenge
Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regression.
A full-fledged approach to make predictions about the future sale prices of houses.This approach consists in: Descriptive statistics about the data, Data cleaning and pre-processing, Defining a modeling approach to the problem, Build such a statistical model and Validate the outcome of the model.
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Song Recommendation System written in Python, applying the collaborative-filtering approach and adopting the ALS model (Alternating Least Squares)
This is to track all our AI endeavours, and wishlists 🍕 🤖🍼
Here is a prediction problem using RandomForest with feature transformation attempt and parameter tuning to improve F1&AUC successfully
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Time Series Analysis with Python
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.