Discover @shabeelkandi Open Source projects

Shabeel Kandi (@shabeelkandi)

shabeelkandi

Stars
92
Global Rank 219,417 (Top 8 %)
Followers 11
Registered over 8 years ago
Most used languages

Jupyter Notebook
50.0 %

AMPL 12.5 %

Python
12.5 %

R
12.5 %

CSS
12.5 %
Location 🇬🇧 United Kingdom
Country Total Rank 10,021
Country Ranking

AMPL 13

Jupyter Notebook
281

R
1,572

CSS
5,482

Handling-Out-of-Vocabulary-Words-in-Natural-Language-Processing-using-Language-Modelling

Jupyter Notebook

Chat-with-an-Excel-dataset-with-LangChain

Jupyter Notebook

AB_Test_analysis

AB test Analysis

Jupyter Notebook

flask-file-upload-search-app

Simple flask application to upload file and build a searchable database around it

shabeelkandi.github.io

Personal Website

Passing-Rate-prediction-using-Naive-Bayes

Predict the passing rate of a selected individual for a driving test in the UK, using Naive Bayes

-Big-Data-Machine-Learning-using-Spark-on-Microsoft-Azure-HDInsight-Cluster

Project on building Spark Machine Learning pipelines using Microsoft Azure HdInsight cluster

Jupyter Notebook

Modelling-the-provision-of-5G-Wireless-Internet-using-AMPL

Introduction SPEED Telecom would like to expand its services into the 5G network and is currently in its early planning stages. This report addresses the design requirements for SPEED Telecoms expansion into 5G Wireless network in the London region. The general problem involves deciding on an optimal network design that can serve the internet traffic demand across all zones subject to a number of other technical design specifications. Objectives The key decisions this report aims to address are the transmission capacity of each of SPEED’s main antennas and the allocating portions of the demand in each zone across its five main antennas.