guluna Goto Github PK

abnormality-detection-in-chest-x-rays

Participated in a Kaggle competition that classifies and detects the location of 14 common thoracic diseases. Ranked amongst the top 14% solutions.

access_to_sanitation_analysis

Webpage for displaying the analysis and chart for World Bank's data

access_to_sanitation_analysis_wb

choropleth-map-in-r

data-site-demo

View this site at: http://guluna.github.io/data-site-demo

data-visualization

data_viz.github.io

This project provides in-depth analysis of educational, health and military expenditures of G-20 countries using Google Visualization API.

datavizfinalproject.github.io

event-extractor-nlp-

This script automatically retrieves all relevant information pertaining to a user inputed event from a large corpus of data.

f20_adv_nlp

first-contributions

🚀✨ Help beginners to contribute to open source projects

github-slideshow

A robot powered training repository :robot:

hackerrank-practice

hello-world

Time-Honored tradition

image-classification-using-deep-neural-networks

imageprocessing

movie-analysis

Data Mining Algorithms for Predicting Movie Success/Failure

multilabel-image-classification

nlp-speaker-identification

The aim of this project was to build a model, that given a sample line of dialog, could identify the character from a TV series most likely to have spoken it. The data set chosen for the project and published to Kaggle is 18 seasons worth of dialog from the animated Comedy Central series, South Park.

object-detection-with-yolov4

predicting-tip-amount-in-r

Analyzed different factors contributing towards tipping behavior of New York Taxi passengers by scraping data in R, performing exploratory data analysis on it and then applying regression models to predict tip amounts with 82% accuracy rate.

s20_ds_nlp

scraping

teaching

time-series-analysis

Applied different time- series models (Average, Naïve, Drift, Simple Exponential Smoothing, Holt- Linear, Holt-Winter, Linear Regression and Auto Regressive Moving Average (ARMA)) on the USA's monthly expenditure data set to best forecasts the future values.

vbd_cxr

Detecting abnormalities in chest X-rays using object detection models. Secured rank 176 of 1277 participants (Top 14%)