Mohcine Madkour's repositories
Modelling-Time-Series-Data-with-Keras
Day level Customizable mortality prediction
computerscience
Free tech resources for faculty, students, and dev advocates for use in computer science courses, workshops, and hackathons.
MSCRED
Concise, modular implementation of Multi-Scale Convolutional Recurrent Encoder Decoder: https://arxiv.org/abs/1811.08055
ShinyTimeseriesForecasting
Timeseries Forecasting with the forecast R package and Shiny, it shows a use case of using Timeseries Forecasting in order to identify trends and forecast into the future.
west-nile-virus-predictions
Forecasts the risk that any subsequent mosquitos will test positive for West Nile Virus (WNV) after any mosquitos have already been found to have WNV at a particular trap.
iets-development
IETS
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
DataVersionControl
This is an example of using DVC
DataCamp
DataCamp data-science courses
text-summarization
Text summarization algorithm for the Capstone Project at Springboard code bootcamp
dtaidistance
Time series distances: Dynamic Time Warping (DTW)
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
MLHyperparameterTuning
Example of using HyperDrive to tune a regular ML learner.
lstm_autoencoder_classifier
An LSTM Autoencoder for rare event classification
Talks
Slides and Materials related to my Talks
recommenders
Best Practices on Recommendation Systems
autoencoder_classifier
Autoencoder model for rare event classification
MAX-Breast-Cancer-Mitosis-Detector
Detect whether a mitosis exists in an image of breast cancer tumor cells
imbalanced-data
Notebook implementing techniques about imbalanced data
AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)