Mohcine Madkour's repositories
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
concourse
Concourse is a container-based continuous thing-doer written in Go and Elm.
AzureBootcamp
Scripts and templates used during Indianapolis Azure Bootcamp demo on April 27th of 2019
ipywidgets
Interactive Widgets for the Jupyter Notebook
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
flowpoints_ml
An intuitive approach to creating deep learning models
prometheus
The Prometheus monitoring system and time series database.
ML-Workshops
Some Spare Projetcs : Data Visualization, Data analysis
elasticsearch-spark-recommender
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
SFA
Scalable Time Series Data Analytics
databricks
Repository of sample Databricks notebooks
UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
dtwclust
R Package for Time Series Clustering Along with Optimizations for DTW
snorkel
A system for quickly generating training data with weak supervision
AmpliGraph
Python library for Representation Learning on Knowledge Graphs
Data-Quality-Analysis
The PEDSnet Data Quality Assessment Toolkit (OMOP CDM)
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
tsfresh
Automatic extraction of relevant features from time series:
deeplearning_timeseries
Deep Learning + Time Series Analysis
ML_Programs
AI & DL
weight_uncertainty
Implementing Bayes by Backprop
TagAnomaly
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
seer
:chart_with_upwards_trend: Feature-based Forecast Model Selection (FFORMS) :clock1: :clock130: :clock10: :clock1030: :clock11: :clock1130: :clock12: :clock1230: :clock2: :clock230: :clock3: :clock330: :clock4: :clock430: :clock5: :clock530: :clock6: :clock630: :clock7: :clock730: :clock8: :clock830: :clock9: :clock930:
costsensitive
(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository