Projects in Awesome Lists by coderjolly
A curated list of projects in awesome lists by coderjolly .
https://github.com/coderjolly/ipu-engineering-notes
This repository contains notes required by CSE/ IT students for IP University. They are managed in respective folders along with some relevant PDFs also.
hacktoberfest informationtechnology sem1 sem2 sem3 sem4 sem5 sem6 sem7 sem8
Last synced: 27 Mar 2025
https://github.com/coderjolly/football-player-prediction
There is an intense transfer speculation that surrounds all major player transfers today. An important part of negotiations is predicting the fair market price for a player. Therefore, we are predicting this Market Value of a player using the data provided in csv format.
data-analysis data-visualization decision-tree-regression machine-learning xgboost-regression
Last synced: 02 Feb 2025
https://github.com/coderjolly/player-market-value-prediction
There is an intense transfer speculation that surrounds all major player transfers today. An important part of negotiations is predicting the fair market price for a player. Therefore, we are predicting this Market Value of a player using the data provided in csv format.
data-analysis data-visualization decision-tree-regression machine-learning xgboost-regression
Last synced: 22 Jun 2025
https://github.com/coderjolly/credit-card-fraud-detection
Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.
auc-roc-curve churn-prediction credit-card-fraud decision-tree-classifier logistic-regression naive-bayes-classifier
Last synced: 27 Mar 2025
https://github.com/coderjolly/eeg-signal-analysis
EEG signals can be used to detect the mental state of a person which can have applications in machine learning. This repo gives an introduction to EEG signal analysis using MNE python library and describes the setup, the data preprocessing, data visualization and segmentation into epochs.
eeg eeg-analysis eeg-signals eeg-signals-processing mne-python
Last synced: 27 Mar 2025
https://github.com/coderjolly/chest-x-ray-classification
This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study by changing learning rates. The dimensional understanding is visualised using t-SNE and Grad-CAM for visualisation of diseases in x-ray scans.
ablation-study chest-xrays grad-cam-visualization python pytorch t-sne transfer-learning x-ray-classification
Last synced: 27 Mar 2025
https://github.com/coderjolly/fraud-detection-credit-card
Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.
auc-roc-curve churn-prediction credit-card-fraud decision-tree-classifier logistic-regression naive-bayes-classifier
Last synced: 01 Apr 2025
https://github.com/coderjolly/data-ingestion-pipeline
It is kubernetes microservice that ingests Steam data, deployed as a service using sQLite for storing processes followed by an event driven message queue controlled by RabbitMQ. This message queue is also deployed as a service with an interconnection with celery workers integrated with Elasticsearch and Redis for caching and ingestion.
celery-tasks docker elasticsearch kubernetes kubernetes-cluster rabbit-mq redis-cache sqllite
Last synced: 27 Mar 2025
https://github.com/coderjolly/health-analytics-using-ml-and-wearble-sensors
This project leverages machine learning to analyze health data from wearable sensors. It focuses on classifying obesity levels, age groups, and calorie consumption habits. With a dataset of physical, lifestyle & demographic features, we used techniques like Support Vector Machines, Random Forests and XGBoost.
Last synced: 27 Mar 2025
https://github.com/coderjolly/news-recommender
This is a news recommender system that uses beautiful-soup to scrape news articles, their categories and descriptions to create a data dump. It then uses word embedding techniques such tf-idf, word2vec for content based news recommendation and LightRF, LightFM to explore hybrid and collaborative filtering based recommender models.
collaborative-filtering lightrf nlp-machine-learning nltk-python recommendation-system recommender-system tf-idf-vectorizer
Last synced: 27 Mar 2025
https://github.com/coderjolly/credit-risk-modelling
The aim of the project is to create a robust machine learning model that predicts the likelihood for a bank's customers to fail on their credit payments for the next month. The dataset used contains information on 24028 customers across 26 variables that includes information regarding whether customer defaulted, credit limits, bill history etc.
decision-tree-classifier machine-learning oversampling-technique pandas-processing undersampling-technique visualization
Last synced: 27 Mar 2025
https://github.com/coderjolly/shopify-intern-challenge
The Ruby on Rails codebase implementing GraphQL and RESTful API for a basic online store.
Last synced: 27 Mar 2025
https://github.com/coderjolly/coderjolly.github.io
My portfolio managed using Jekyll pages for updating my personal pages, projects, writings and certifications.
Last synced: 07 May 2025
https://github.com/coderjolly/employee-information-retrieval-system
An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.
etl flask mvc numpy pandas python sqlite3
Last synced: 27 Mar 2025
https://github.com/coderjolly/home-decor-classification-api
A timed company task aiming to build & deploy an end-to-end DL based image classification for furniture images using Tensorflow and Flask that returns the predicted label as output when accessed using an API. This is dockerized and can be deployed on AWS as well.
deep-learning docker flask python
Last synced: 01 Apr 2025
https://github.com/coderjolly/malicious-network-detection
It focuses on identifying malicious and non-malicious network connections using machine learning. By processing Snort Intrusion Detection Logs, the project applies algorithms like Random Forest, AdaBoost, and XGBoost, achieving high accuracy in classifying network traffic and enhancing cybersecurity.
Last synced: 12 Jun 2025
https://github.com/coderjolly/spotify-api-data-analysis
The project leverages Apache Airflow for automating Spotify API data analysis, focusing on user activity. Extracting, transforming, and loading data efficiently, it provides insights via PowerBI dashboards.
airflow airflow-dags data data-engineering etl etl-pipeline microsoft-sql-server power-bi python scripting sql
Last synced: 12 Mar 2025
https://github.com/coderjolly/processing-advertisements
Processing image advertisements to predict the context conveyed through them using CNNs. The images are further visualised using GradCAM to understand how the first and the last layers perceive the image dataset for the classification.
advertisement-contextual-analysis deep-learning efficientnet image-classification image-processing mobilenetv3 pytorch resnet-50
Last synced: 27 Mar 2025
https://github.com/coderjolly/pyspark-yelp-data-analysis
A comparative study to understand the computing efficiencies of Pyspark architectures vs python based distributed programming methodologies such as MPI, multi-threading or multi-processing on the Yelp kaggle dataset.
distributed-system-design distributed-systems-challenges mpi multiprocessing multithreading pyspark pyspark-python
Last synced: 27 Mar 2025
https://github.com/coderjolly/sociogram
SocioGram is an application that allows users to upload various pictures and share it on their profile. Other users can leave a comment or a like on the pictures accordingly. It is build on Ruby on Rails framework with screenshots attached.
Last synced: 27 Mar 2025
https://github.com/coderjolly/customer-churn-prediction
It is prediction strategy used to understand the the factors required to retains customers. Showcased classical machine learning algorithm to analyse and understand the telecom customer dataset using SVMs, Decisions Trees, Random Forests etc.
churn-prediction churn-user-prediction decision-tree-classifier logistic-regression supervised-learning
Last synced: 27 Mar 2025
https://github.com/coderjolly/utilisation-analysis
This provides a small glimpse of the IISc's, Supercomputer Education Research Centre (SERC) resource data, and how it was ingested, extracted to produced relevant results for data analysis between actual resource utilisation and simulated resource utilisation.
csv-parser-python data-transformation data-visualization flow plotly-dash plotly-python
Last synced: 27 Mar 2025
https://github.com/coderjolly/bird-call
There are already many projects underway to extensively monitor birds by continuously recording natural soundscapes over long periods. However, as many living and nonliving things make noise, the analysis of these datasets is often done manually by domain experts. These analyses are painstakingly slow, and results are often incomplete.
audio-processing cnn-classification cnn-keras melspectrogram melspectrogram-classifications melspectrogram-creation-pipeline python
Last synced: 27 Mar 2025
https://github.com/coderjolly/cat-dog-classifier
This is classifier that uses pictures of cats and dogs to train itself and then is capable enough to predicts whether the picture is of a dog or cat. The number of training and testing images are mentioned in the repo.
Last synced: 27 Mar 2025
https://github.com/coderjolly/findhelp
Java SpringBoot backend for a depression consultation portal where patients fill an evaluation form, followed by a counsellor viewing it to decide whether a counselling is required or if the patient needs to be directed to a doctor for and online meeting.
docker-compose dockerfile java maven maven-pom mongodb-atlas sprint-boot
Last synced: 27 Mar 2025