Pinned Repositories
Activity-recognition-paper
awesome-gcp-certifications
Google Cloud Platform Certification resources.
b1sakher.github.io
Contrast-enhancement-in-digital-images
Contrast enhancement in digital images
Data-Science--Cheat-Sheet
Cheat Sheets
data-science-roadmap
Databricks-Apache-Spark-2X-Certified-Developer
Databricks - Apache Spark™ - 2X Certified Developer
distributed-load-testing-using-kubernetes
Distributed load testing using Kubernetes on Google Container Engine
Google-Cloud-Plateform
Object-detection-and-recognition-in-digital-images
Object detection and recognition in digital images using Chebychev indexation and Support Vector Machines
b1sakher's Repositories
b1sakher/Contrast-enhancement-in-digital-images
Contrast enhancement in digital images
b1sakher/Databricks-Apache-Spark-2X-Certified-Developer
Databricks - Apache Spark™ - 2X Certified Developer
b1sakher/Google-Cloud-Plateform
b1sakher/Object-detection-and-recognition-in-digital-images
Object detection and recognition in digital images using Chebychev indexation and Support Vector Machines
b1sakher/Activity-recognition-paper
b1sakher/awesome-gcp-certifications
Google Cloud Platform Certification resources.
b1sakher/b1sakher.github.io
b1sakher/Data-Science--Cheat-Sheet
Cheat Sheets
b1sakher/data-science-roadmap
b1sakher/distributed-load-testing-using-kubernetes
Distributed load testing using Kubernetes on Google Container Engine
b1sakher/docker-tf-gcp
VM startup script, Dockerfile and Makefile for GPU training with Tensorflow on Google Cloud Platform
b1sakher/document-similarity
Document Similarity using Word2Vec
b1sakher/Facebook-Conversation-Analysis
An analysis of a facebook conversation between two individuals
b1sakher/image-processing-flask-mongo-docker
This python script demonstrate a pipline running on a Docker container of gathering data through hyper links, processing it, saving it in mongo DB then using Flask to show results.
b1sakher/JUNIOR-CONFERENCE-ON-DATA-SCIENCE-AND-ENGINEERING-JDSEPARIS16
Contains the abstract and the published paper
b1sakher/Kaggle-Titanic-Machine-Learning-from-Disaster
In this challenge, i made the analysis of what sorts of people were likely to survive. In particular, i applied the tools of machine learning to predict which passengers survived the tragedy.
b1sakher/Machine-learning-with-python
b1sakher/models
Models and examples built with TensorFlow
b1sakher/POC-New-scoring-model-for-ranking-cars-of-Drivy-search-Engine
The goal is to make a proof of concept of a new ranking algorithm for Drivy's search engine.
b1sakher/Simple-Image-recognition-using-Keras-with-GPU
A simple walk-through of image recognition using TensorFlow.Keras on GPU.
b1sakher/testing_ground
b1sakher/Using-optimisation-methods-to-solve-the-Knap-sack-Problem
The optimisation methods used are : Brute force, Basic branch and bound, Advanced branch and bound, Dynamic programming