Jaseem ck's Projects
Add all sorts of application for hacktoberfest.
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
This project is on analyzing the chinook database using advanced queries
This project is on analyzing CIA Factbook using SQL Queries
This project focuses on cleaning and analyzing employee exit survey dataset.
An API of Ice And Fire is the world's greatest source for quantified and structured data from the universe of Ice and Fire (as well as the HBO series Game of Thrones).
A Python helper library for https://anapioficeandfire.com
EDA and modeling of Anomaly Detection in IoT devices | Federated Learning | Kaggle IoT Dataset | KDD cup
An appointment app
A smart stick that can help the blind walk without others help.
Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.
list of resources for federated learning and privacy in machine learning
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A topic-centric list of HQ open datasets. PR āāā
Player queuing system for badminton club
Solution of Code Jam Problem will be here
Codeheat Coding Contest Website https://codeheat.org
Computer Vision using PyTorch Learning Program by TinkerHub Foundation
Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Github Profile Comparison Application
This repository is used by the developer site training content, Paris release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, Flow Designer, REST Integrations, Reporting and Analytics, Domain Separation, Mobile Applications, and Context-sensitive Help courses.
Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.