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Dano's Projects

awslamdandvi icon awslamdandvi

Deployment package for AWS Lambda including Python Image Processing Library to compute NDVI on images taken by a modified DJI Phantom 3 camera lens

data icon data

Data and code behind the articles and graphics at FiveThirtyEight

datamining icon datamining

Human resource, sales, customer churn and service agent evaluation

epl icon epl

Soccer Match Predictor

epl-predict-2019 icon epl-predict-2019

EPL-Prediction-2019 is a mini project of Kathmandu University, Machine Learning COMP-484. This repo contains dataset, trained models, fixtures of EPL season 2018/2019 and IPython Notebook (ipynb) file.

eplpredictions icon eplpredictions

Prediction of Premier league standings using Poisson distribution

football-data-analysis icon football-data-analysis

Tools to download, parse and normalize the data from football-data.co.uk thus making it easily queryable using SQL

footballdata icon footballdata

Python project to wrangle data from Football-Data.co.uk

futures icon futures

Futures trading database/backtester/analysis

manu-web-scrapper icon manu-web-scrapper

Simple web scrapper made from Beautiful Soup Library (Python) which scrapes ESPN to show football match results.

photon-resin-calibration icon photon-resin-calibration

Anycubic Photon - Files and method to quickly find the best latitude exposure settings for any resin or 405nm UV coating

plant-disease-diagnostics-using-uav-and-android-app icon plant-disease-diagnostics-using-uav-and-android-app

Plant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.

prescriptionchecker icon prescriptionchecker

Medication | Prescription validation model to ensure med is appropriate for condition being treated

pxltextgenerator icon pxltextgenerator

Gather handwriting from a photo/scan into a character library; Export text as 'handwritten' images!

redcapmatchkey icon redcapmatchkey

SAS script to merge other datasets with REDCap Project Data - Epidemiology | COVID-19

rugby-power-index icon rugby-power-index

The Rugby Power Index is a statistical method for ranking rugby union teams, based on their offensive and defensive strengths, recent form and past results.

soccer-cli icon soccer-cli

:soccer: Football scores for hackers. :computer: A command line interface for all the football scores.

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