coderjolly | GitHub owners | Ecosyste.ms: Repos

coderjolly/ufc-predictor-mma

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coderjolly/coderjolly.github.io

My portfolio managed using Jekyll pages for updating my personal pages, projects, writings and certifications.

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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.

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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.

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coderjolly/healthcare-analytics

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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.

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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.

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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.

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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.

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coderjolly/insurance-claims-prediction

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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.

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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.

Language: Python - Size: 14.5 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

coderjolly/hackingtool Fork of Z4nzu/hackingtool

ALL IN ONE Hacking Tool For Hackers

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coderjolly/sentiment-synthesis-LLMs

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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.

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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.

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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.

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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.

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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.

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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.

Language: Python - Size: 11.6 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

Language: Java - Size: 2.28 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 3

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.

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coderjolly/coderjolly

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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.

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coderjolly/How-to-cheat-in-computer-science-101 Fork of genchang1234/How-to-cheat-in-computer-science-101

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coderjolly/Whatsapp Fork of uday1201/Whatsapp

Some "useful" whatsapp codes

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coderjolly/Data-Science-Portofolio Fork of youssefHosni/Data-Science-Portofolio

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coderjolly/ML-DTU-workshop Fork of shashankvasisht/ML-DTU-Workshop

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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.

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coderjolly/Data_Science_Masters_Program_2021 Fork of commit-live-students/Data_Science_Masters_Program_2021

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coderjolly/hacker-scripts Fork of NARKOZ/hacker-scripts

Based on a true story

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coderjolly/grok_sdi_educative Fork of sharanyaa/grok_sdi_educative

Grokking the System Design Interview Course

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coderjolly/chetan-resume Fork of chetanchawla/Resume

Contains my latest resume, template- Modified deedy resume

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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.

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coderjolly/ML_Python Fork of MANI14011998/ML_Python

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coderjolly/Learn_Machine_Learning_in_3_Months Fork of llSourcell/Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

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coderjolly/deep-learning-with-python-notebooks Fork of fchollet/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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coderjolly/interview Fork of Olshansk/interview

Everything you need to prepare for your technical interview

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coderjolly/Machine-Learning-and-Data-Science Fork of aditya1702/Machine-Learning-and-Data-Science

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

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coderjolly/coding-interview-university Fork of jwasham/coding-interview-university

A complete computer science study plan to become a software engineer.

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coderjolly/ML-From-Scratch Fork of eriklindernoren/ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

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coderjolly/Grokking-Deep-Learning Fork of iamtrask/Grokking-Deep-Learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

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coderjolly/Deep-LearningAI Fork of GSimas/Deep-LearningAI

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

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GitHub / coderjolly 2 Repositories