Paras Varshney (blurred-machine)

blurred-machine

Geek Repo

Company:@logicai-io

Location:Boston, MA

Home Page:https://parasvarshney.com

Twitter:@blurred_machine

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Paras Varshney's repositories

ANN-based-Banking-Churn-Prediction

This repository will have all the necessary files for machine learning and deep learning based Banking Churn Prediction ANN model which will analyze tha probablity for a customer to leave the bank services in near future. Deployed on Heroku.

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Data-Science

This repository contains all of my minor projects built by me during the learning plase of Machine Learning and Data Science. Feel free to create a PR for modifications.

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RNN-based-Stock-Price-Prediction-using-LSTM

This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.

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Amazon-Fine-Food-Review-Analysis-using-NLP-Techniques

This repository consists of analysis over Amazon fine food purchase reviews by customers. The data has been collected by Stanford Network Analysis Project(SNAP). This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories.

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blurred-machine.github.io

This is a personal portfolio website that serves as a platform to showcase my skills, experiences and achievements. The website is still under development and I welcome contributions from the community. The website features an about section that provides an overview of who I am and what I do, a portfolio section that displays my work.

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Computer-Vision-Image-Classification

In this repository I have implemented computer vision on MNIST dataset for images classification for digits between 0-9, fashion clothings and sign language hand signals. The models are implemented using TesorFlow. Feel free to send a PR for any oprimization or modification.

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Real-Estate-Rental-Pricing-Prediction-End-to-End-ML-Project

The aim of this project is to build an application that predicts the monthly rental of a house based on the given attributes. The project works on a dataset for a small region of a city.

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Cardiovascular-Disease-Detection-End-to-End-ML-Project

Building an application to classify the patients to be healthy or suffering from cardiovascular disease based on the given diagnosis attributes.

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Flink-Fraud-Detection-with-DataStream-API

Understanding the fraud transactions in real-time stream processing data pipeline built using Apache Flink.

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IMDB-Movies-Reviews-Classification-NLP

Research oriented, developing word embeddings for binary text-polarity classifier based on movie reviews using BoW, TF-IDF, n-Gram, Word2Vec, Doc2Vec, PV-DM, PV-DBOW and other NLP techniques.

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Cats-and-Dogs

This repository consists of a CNN based Deep Learning project. The web interface will ask user to upload an image and will predict the class of image as "Cat" or "Dog".

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iNeuron

This repository consists of all the study material for the course of iNeuron. The course is "Deep learning with Advance Computer Vision and NLP Masters".

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The-Theory-of-Affordances

This repository has all the research work related to the theory of affordances given by James J. Gibson

blurred-machine

My personal GitHub Overview page. This page consists of most of the information about me with all the required links to reach out to my public portfolios.

Computer-Vision-Problems

In this repository, I have solved two problems with computer vision. The first Implementation is building a CNN in which the input is a noisy number and the output is a denoised number based on AutoEncoders. The second implementations is sequencing the characters read from number plates done using object detection.

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Truvisory

This repository contains links to all my LinkedIn posts where I have provided resources to learn any trending technology. Visit my LinkedIn Profile:

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Fake-News-Classification-using-LSTM

This repository is a submission of Kaggle competition for fake news detection.

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Generate-Synthetic-Images-with-DCGANs-in-Keras

In this project, I have built a DCGAN based synthetic image generator and a discriminator on the fashion-MNIST dataset. Generated synthetic images using DCGAN and tried to fool the discriminator

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HackerEarth-ML-Challenge-June-2020

HackerEarth Machine Learning Challenge to Predict the employee attrition rate in organizations. This repository contains my solution of achieving rank 300 (best 161)

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IIITDMK-Solasta

This repository consists of the source code of the Android Application for the Solasta Fest. Solasta is a Techno-cultural fest at IIITDM and is celebrated each year in the month of March. The codebase is completely in Java and is build using android components.

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Sentence-Inference

For every given pair of sentences -- (sentence-1, sentence-2), we need to determine if sentence-2 can be logically inferred given sentence-1.

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Storm-Multiplier-Topology

This project consists of a Directed Acyclic Graph-based Topology for a Data Streaming Spout and Multiplier Bolt forming a Storm Topology submitted on a Local Cluster.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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iudx-analytics-app

A sample application of a high ingestion and consumption volume analytics application running on IUDX

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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shrinkit

Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.

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base_project_template

A Python project template that you can use for packaging and distributing your project on PyPI

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professional-programming

A collection of learning resources for curious software engineers

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