amrrs's Projects
The goal of this project was to solve the problem of a telecom operator losing customers to its competitor. A predictive model was built with classification algorithms to predict the likelihood of churn (leaving a service) of a mobile telephone user. Random Forest classifier, XGBoost & Decision Tree algorithms were used for training & testing the model while feature engineering was extensively carried out to fine-tune and improve the accuracy of the model. More work was done in cleaning the data ā handling missing values and inconsistency in the data. This project was submitted in a Kaggle Competition.
Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R
R Package "cleandata"
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
This is the code shared in the Codepy 2018 Workshop
Access Coindesk API in R
š°R package to get Cryptocurrencies Market Cap Prices from Coin Market Cap š°
A Curated list of R uses in entreprise
Computer Vision Basics in Microsoft Excel (using just formulas)
A list of "good practices" for creating a good environment for conference speakers. Based on my own experience as a speaker but prepared in my role as an organizer for satRdays Chicago 2019
š©āš«š· Starter repo for building interactive R courses
fast.ai Courses
Open datasets available for COVID-19
A credit card fraud detection system in R
Automated Cricket Quiz Generator using Python
A python package for analyzing the performances of cricketrs based on ESPN Cricinfo
Shiny App with Crossword Stats
Cryptocurrency Historical Market Data R Package
R Historical Cryptocurrency Web Scraper Coinmarketcap
CSV Chat with LangChain and OpenAI
Custom Named Entity Recognition annotated using NER Annotated by tecoholic and Spacy for training the model
Custom Named Entity Recognition with Spacy3
Parameterized R Markdown and Shiny as an alternative to Excel
Cross-validate time series forecasts
Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionalities.
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Basics of Data Analytics with a simple public data