Pinned Repositories
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
Credit_card_fraud_classification
Face-Recognition-using-Deep-Learning
Face recognition model for detecting my face , trained using VGG16 convolutional neural network . Deployed using streamlit.
Fault-Tolerant-Component-for-Surveillance-Subsystem-in-Smart-Cities
Flight-Price-Prediction-Model
anandsk98/Flight-Price-Prediction-Model
Future-Electric-Vehicle-Support-Infrastructure
HE_Performance
Multiclass classification model for predicting student grades from higher education students dataset.
Restaurant-Review-Sentimental-Analysis
A classification model which predicts whether a restaurant review is positive or negative ,built using natural language processing tools in Python.
Search-Engine
Creating a search engine for a recipe. You give input of keywords and a recipe that matches the closest according to a criteria is displayed.
Traffic-Recording-Application
Implementation of a simple traffic capturing application. The application is a web-based system that consists of two parts. The web server written in python and a browser-based client that presents the user interface.
anandsk98's Repositories
anandsk98/Credit_card_fraud_classification
anandsk98/Face-Recognition-using-Deep-Learning
Face recognition model for detecting my face , trained using VGG16 convolutional neural network . Deployed using streamlit.
anandsk98/Fault-Tolerant-Component-for-Surveillance-Subsystem-in-Smart-Cities
anandsk98/Flight-Price-Prediction-Model
anandsk98/Flight-Price-Prediction-Model
anandsk98/Future-Electric-Vehicle-Support-Infrastructure
anandsk98/HE_Performance
Multiclass classification model for predicting student grades from higher education students dataset.
anandsk98/Restaurant-Review-Sentimental-Analysis
A classification model which predicts whether a restaurant review is positive or negative ,built using natural language processing tools in Python.
anandsk98/Search-Engine
Creating a search engine for a recipe. You give input of keywords and a recipe that matches the closest according to a criteria is displayed.
anandsk98/Traffic-Recording-Application
Implementation of a simple traffic capturing application. The application is a web-based system that consists of two parts. The web server written in python and a browser-based client that presents the user interface.
anandsk98/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
anandsk98/Breast-Cancer-Diagnosis-Model
Classification model to diagnose if a person has breast cancer or not.
anandsk98/Comparing-the-performance-of-graph-neural-network-models-on-spatio-temporal-data
MSc Data Science and Statistics dissertation
anandsk98/Credit_card_default_prediction
anandsk98/Diabetes-Prediction-Model
A classification model to predict if a person has diabetes or not .
anandsk98/Employee_Engagement_Survey_Analysis
anandsk98/Fake-News-Classifier
A Fake News classifier using Natural Language Processing tools in Python.
anandsk98/Ferrero_field_sales_analysis
anandsk98/interview-question-data-science-
anandsk98/NeuCube_SpiNNaker
This repository contains an implementation of the SNN algorithm NeuCube for EEG brain data classification.
anandsk98/opencv
Open Source Computer Vision Library
anandsk98/opencv_v4l2
This project contains sample OpenCV application code as well as V4L2 helper library to access camera devices in OpenCV. This code helps to achieve high framerates from cameras in OpenCV. This project gives better results than the VideoCapture class in OpenCV. This source code is only compatible in Linux.
anandsk98/Sentimental-Analysis-of-Reviews
Used a dataset for review of Ford motor vehicles and used NLP techniques to analyse if the review was positive or negative using Naive Bayes as well as SVM and compared performance.
anandsk98/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
anandsk98/Tic-Tac-Toe-using-Minimax-algorithm
Python implementation of the computer automatically playing Tic Tac Toe done using minimax algorithm.
anandsk98/Weather-Dataset-Infographic
Preprocessed weather csv dataset and used visualisation tools to get interesting details and made it into two infographics.