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apm_python

APMonitor Optimization Suite in Python

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-recsys

Must-read papers on recommendation systems (RecSys)

begin_python

Beginning Python programming course using the Temperature Control Lab.

data-science--cheat-sheet

Cheat Sheets

databricks-apache-spark-2x-certified-developer

Databricks - Apache Spark™ - 2X Certified Developer

dataworkssummit2018_spark

DataWorksSummit2018_Spark

dataworkssummit2018_spark_ml

hands on introduction to basic Machine Learning techniques with Apache Spark ML using the cloud.

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep_learning_books

This repository contain some of the machine/ deep learning interesting books. You will find mathematical explanation of machine learning/deep learning and how to implement an algorithm from scratch. I hope they will help you find your way to success as a future data scientist or deep learning master.

digit_recognizer

An image classification algorithm to predict human handwriting

dltk

Deep Learning Toolkit for Medical Image Analysis

dshelp

a library for data processing and prediction

dskhaled.github.io

Une veille technologique sur l'intelligence artificielle et les algorithmes de Trading

frauds-detection-with-boltzman-machine

frauds-detection-with-self-organized-map

I have created an unsupervised deep learning algorithm in order to detect fraud from a bank dataset. Then, I have trained a Artificial Neural Network so it can predict whom have made a fraud using their credit card or their bank accounts.

interactive_dictionary

An interactive Dictionary that helps you find the definition of a inputed word in a json file

kyacoubi_personal_webpage

multivariate-anomaly-detection

I have created a multivariate anomaly detection model from scratch in order to find the outliers in the dataset using only the Gaussian distribution

opencv

Open Source Computer Vision Library

pacman_rl

Solve Pacman game using Reinforcement Learning

pyspark-2-day-bootcamp-workshop

recommandation-sys-with_ae

spark-with-python---my-learning-notes-

ETL pipeline using pyspark (Spark - Python)

tensorflow-101

TensorFlow 101: Introduction to TensorFlow

tensorflow-advanced-techniques-specialization

Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution

timeseries-seq2seq-deeplstms-keras

This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).

website_blocker

I have written a python program entitled "Website Blocker" that could be used to limit access to any website during working hours. It's done in order to increase productivity and concentration

whats-news

A program to automatically create a PPT of the top 10 Headlines and email the file