Prateek Agrawal's repositories
100-Days-of-ML
The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning
Deep-Style
Deep style is a transfer learning based neural style transfer web application that stylizes your image to one of the 4 styles available (at the moment).
female-diabetes-prediction
The following repository contains source code and other files for Diabetes Detection in Female web application
pattern-recognition-utils
The following repository contains source code for Pattern Recognition Utils Web app
Recommendify
Recommendify is a one stop solution to movie recommendation and supports more than 4000 movies at the moment.
Device-Drivers
The following repository contains source code for various assignments done as a part of Device Driver's Lab
Embedded-Systems
The following repository contains source code for various programs done as a part of Embedded Systems Lab
Operating-Systems
The following repositories contains source code for assignments done as a part of Operating Systems Lab
Android-Basics
The following repository contains source code for various android projects
Butterfly-Classification
The following repository contains source code for Butterfly Classification hackathon on Dockship AI
Chext-X-Ray-Pneumonia-Detection
The following repository contains source code and trained models for detecting Pneumonia in Chest X Ray Scans
CNN-Architectures
The following repository contains source code for multiple CNN-Architectures
Computer-Architecture
The following repository contains various programs developed as a part of Computer Architecture Practice Course
Computer-Networks
The following repository contains source code for various projects done as a part of Computer Networks Course
ICC-Cricket-World-Cups
The following repository contains source code and dataset for ICC-Cricket-World-Cups data analysis done as a part of Analytics and Systems of Big Data course's Lab End Semester Examination.
Merchandise-Popularity-Prediction
The following repository contains files for Merchandise Popularity Prediction hackathon organized by machinehack.
The-Great-India-Hackathon
The following repository contains source code for the The Great India Hackathon organized by MachineHack (Analytics India Magazine)
Reverse_Shell
The following repository contains source code for a reverse shell developed in python.
Dog-Breed-Classification
The following repository contains source code for Dog-Breed-Classification using multiple SOTA methods.
Drug-Prediction-using-Decision-Tree
The following repository contains code to predict the Drug based on various symptoms by using Decision Tree Model
Garbage-Classification
The following repository contains source code for a computer vision problem statement to classify images into their garbage category such as plastic and metal
HackNITP-21
The following repository contains my approach for Hack NITP AI Dockship Challenge
Horse-or-Human
The following repository contains source code for classifying the image as either a human or a horse using CNN and DNN. The codes have been written on Google Colaboratory and contain some module that run only on Google Colaboratory.
Hybrid-Recommender-System
The following repository contains code for a recommender system which is a combination of User_item and Item_Item based reocmmenders.
Hyperparameter-Tuning-using-Optuna
Optuna is a Hyper-parameter tuning framework that can be used to tune the models and find a better set of parameter values
Interactive-Computer-Graphics
The following repository contains source code for Interactive Computer Graphics using OpenGl and C++
Janatahack-Customer-Segmentation
Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests and spending habits. Companies employing customer segmentation operate under the fact that every customer is different and that their marketing efforts would be better served if they target specific, smaller groups with messages that those consumers would find relevant and lead them to buy something. Companies also hope to gain a deeper understanding of their customers' preferences and needs with the idea of discovering what each segment finds most valuable to more accurately tailor marketing materials toward that segment. This weekend, we are back with another Janatahack, this time dealing in a problem statement on customer segmentation. Stay tuned and make the maximum out of this learning opportunity.
personal-website
The following repository contains code for personal website
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.