Danial Khilji's repositories
Digital-Development-Initiative-World-Bank
This project aims to use World Bank data and analyse it. The objective is to find 10 best countires that deserve the World Bank funding for digital development. This project is completed in collaboration
Bank-Marketing-EDA
This projects explores the bank marketing dataset using automatic EDA packages in R.
CTGAN_tabular_data
Experiments with CTGAN for tabluar data synthesis and augmentation.
Scene-Recognition-SVM
In this project, SVMs and Bag of Words were used to identify image scene.
danialkhilji
Config files for my GitHub profile.
Harris-Corner-Detector
This project detects the corners in the image using Harris Corner Detector algorithm. The project also tests the effects of rotation and scaling on the number of corners detected in the image.
House-Prices-EDA
This project aims to do a exploratory data analysis of house prices in America. Another of of this project is to do the analysis in shortest time therefore automatic EDA packages are used.
Human-Activity-EDA
This project is a data analysis of human activity throughtout the day using automatic EDA packages in R.
iot_pet_feeder
Automatic pet feeder using Internet of Things (IOT) ensures that your pet is fed at right times without you worring about filling the feed.
iot_toilet_status
IOT solution to avoid long queues in common toilets. This solution will help to monitor toilet status using mobile.
Lazy-Snapping-Image-Segmentation
The image segmentation is carried out using the Lazy Snapping technique based on the famous Lazy Snapping research paper.
Letter-Recognition
This project consist of recognizing correct letters using machine learning algorithms namely XGBoost and KNN
NETFLIX-Recommendation-Model
This project uses correlation methods to implement NETFLIX movie recommendation model.
Scene-Recognition-Convolutional-Neural-Network
This project uses Convolutional Neural Networks to identify scene of image. It uses the dataset from the "Scene-Recognition-SVM" repository.
Sentiment-EDA
It is a Exploratory Data Analysis (EDA) of mall customers dataset in order to do sentiment analysis
titanic_eda
Exploratory data analysis of titnanic dataset.
UK-Railway-Analysis
This analysis presents the delays in the railway trains in United Kingdom for each month.