Name: Behrooz Hosseini
Type: User
Company: Teck Resources li ited
Bio: PhD in Artificial intelligence. Big Data Mining
New robust data clustering approach on the basis of Apache Spark using Distributed asynchron Metrics
Location: Vancouver, BC, Canada
Blog: https://www.linkedin.com/in/behrooz-hosseini/
Behrooz Hosseini's Projects
creating the good commit history
My algorithm notes
Config files for my GitHub profile.
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
The Python programming language
This is a great dataset of real estates in the USA. it has been separated state by state. it can be used for any data mining and machine earning purposes. It is updated and can be used for any noncommercial use. for accessing more data please feel free to contact me.
DevOps Interview Questions
abusing github commit history for the lulz
Create a repository to fill your GitHub commit heatmap. Fake your commits till you make your commits.
leetcode problems I solved to prepare for my Google interview.
Multiset Hesitant Fuzzy Set Clustering USing Apache Spark
This repository includes resources which are more than sufficient to prepare for google interview if you are applying for a software engineer position or a site reliability engineer position
The image data of Natural Scenes around the world.Want to build powerful Neural network that can classify these images with more accuracy.
Robust and online map inference from gps data
The repository contains solutions to various problems on leetcode. The code is merely a snippet (as solved on LeetCode) & hence is not executable in a c++ compiler. The code written is purely original and completely my own.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Semantic text annotation tools using Wordnet and DBPedia
scikit-learn: machine learning in Python
Apache Spark - A unified analytics engine for large-scale data processing
An Open Source Machine Learning Framework for Everyone
It is a project on adaptive density estimation for distributed clustering
A Program for real estate analysis in US Market, Getting data from market places, Preprocessing, data cleaning and forecasting . Recommending best investment cases for investors inside of US Territories.