prateekagrawaliiit
Silicon Design Engineer 2 @ AMD. It's not who I am...but what I code that defines me.
AMD India Pvt. Ltd.Hyderabad
Pinned 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
Butterfly-Classification
The following repository contains source code for Butterfly Classification hackathon on Dockship AI
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).
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
female-diabetes-prediction
The following repository contains source code and other files for Diabetes Detection in Female web application
Market-Basket-Analysis-
The following repository contains code for Market Basket Analysis specifically for France and Germany using Apriori and Association Rules in Python.
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.
Reverse_Shell
The following repository contains source code for a reverse shell developed in python.
prateekagrawaliiit's Repositories
prateekagrawaliiit/Market-Basket-Analysis-
The following repository contains code for Market Basket Analysis specifically for France and Germany using Apriori and Association Rules in Python.
prateekagrawaliiit/House-Price-Prediction-for-Melbourne
The following repository contains code for a basic ML Model to predict the price of a house in Melboune using DecisionTreeRegressor. The model has been deployed using Flask and the repository contains the code for the same.
prateekagrawaliiit/Analysing-China-s-GDP-
The following repository contains code that analyses China's GDP to predict the GDP for future years. It uses sigmoid function and curve fitting to obtain a better accuracy
prateekagrawaliiit/Cancer-Prediction-using-SVC
The following repository contains program to predict whether the cancer is benign or malignant based on various features. It also uses 3 different evaluation metrics namely Confusion Matrix, F1-Score, Jaccard Index to compute the accuracy of the model
prateekagrawaliiit/CO2-Emission-Prediction
The following repo consists of a single linear regression as well as multivariate linear regression model to predict the CO2Emission of the car using various features.
prateekagrawaliiit/Handwritten-Digit-Recognition
The following repository contains code for Handwritten Digit Recognition using Neural Networks and MNIST dataset.
prateekagrawaliiit/Handwritten-Digit-Recognition-using-CNN
The following repository contains code for handwritten digit recognition using CNN. The model achieved and accuracy of 99% in 3 epochs and can reach up to 99.8% in around 11-12 epochs.
prateekagrawaliiit/Hot-Dog-or-Not
The following repository contains the code to predict whether the image is of a hotdog or not using Transfer Learning. It uses two models namely ResNet50 and VGG16.
prateekagrawaliiit/House-Price-Prediction-Boston
The following repository contains code to predict the house price of a house in boston using simple linear regression model
prateekagrawaliiit/House-Price-Prediction-for-Philadelphia
The following repository contains the source code and the dataset to predict the price of a house in Philadelphia based on the crime rate in the town. It also uses data preprocessing to develop a better model for the same.
prateekagrawaliiit/House-Price-Prediction-Iowa
The following repository contains code to predict the sale price of a house in Iowa and used Decision Tree Regressor model to predict
prateekagrawaliiit/House-Price-Prediction-Melbourne
The following repository contains code to predict the house price of a house in Melbourne using Decision Tree Regressor
prateekagrawaliiit/Image-Classification-using-Transfer-Learning
The following repository contains source code and dataset for classifying the image of a dog to be sideways or upright by using Transfer Learning from ResNet50.
prateekagrawaliiit/Image-Recognition-using-Pixel-Matching
The following program predicts the number by comparing it with the other numbers in the dataset based on pixel match and displays the result as a bar graph
prateekagrawaliiit/IMDB-Movie-Review-Classifier
The following repository contains code to predict whether a review is possitive or negative using Neural Networks.
prateekagrawaliiit/Item-Recommender-System
The following repository contains code for a item recommender for a grocery store in France using Model based Collabarative filtering, Association Rule Mining and Apriori Algorithm .
prateekagrawaliiit/JanataHack-Computer-Vision-Hackathon
Winning solution for JanataHack: Computer Vision Hackathon
prateekagrawaliiit/Movie-Recommender-System
The following repository contains code for a movie recommender system using Weighted Average filtering.
prateekagrawaliiit/Movie-Recommender-using-Content-Based-FIltering
The following repository contains code for a movie recommender system using Content Based filtering.
prateekagrawaliiit/Sarcasm-Classifier-
The following repository contains code to predict whether a sentence is sarcastic or not using Neural Networks.
prateekagrawaliiit/Song-Recommender-System
The following repository contains source code for two Song Recommender System : One that is based on popularity while the other is much more personalised.
prateekagrawaliiit/Telecommunication-Servic-Prediction
The following repository contains code to predict the service of the telecommunication service of a customer and uses KNN Model to predict.
prateekagrawaliiit/Telecommunications-Churn-Prediction
The following repository contains code to predict the churn of a customer based on several features and uses Logistic Regression Model to predict . It also uses 3 different evaluation metrics namely F1-Score , Confusion Matrix and Jaccard Index to help visualise the accuracy.