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amrrs's Projects

churn-prediction icon churn-prediction

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.

cinday-rug-iml-2018 icon cinday-rug-iml-2018

Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R

clipseg icon clipseg

This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

coinmarketcapr icon coinmarketcapr

šŸ’°R package to get Cryptocurrencies Market Cap Prices from Coin Market Cap šŸ’°

conf-speaker-experience icon conf-speaker-experience

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

course-starter-r icon course-starter-r

šŸ‘©ā€šŸ«šŸ‡· Starter repo for building interactive R courses

cricpy icon cricpy

A python package for analyzing the performances of cricketrs based on ESPN Cricinfo

crypto icon crypto

Cryptocurrency Historical Market Data R Package

custom-ner-with-spacy icon custom-ner-with-spacy

Custom Named Entity Recognition annotated using NER Annotated by tecoholic and Spacy for training the model

cv.ts icon cv.ts

Cross-validate time series forecasts

dash_tutorial_series icon dash_tutorial_series

Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionalities.

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