Pinned Repositories
10701
16825-assignment1
Computer-Vision
Tried basics of Computer Vision using Python 3.x
dgcnn
Dog-Breed-Classification
Created a model using ConvNets and Transfer Learning techniques which helps in the prediction of the breed of a dog via its image.
Implementing-ML-algorithms
Basic implementation of Regression, Classification, Clustering, Association Rule Learning, Reinforcement Learning, NLP, Deep Learning algorithms and more!
Operating-System-Lab-
Codes implemented in the Operating System Practical lab.
Sentiment-Analyser
Implementation of a Sentiment Analyser using ANN and Non-ANN methods where an organisation can enter its customer’s reviews and the model returns whether the review is positive, negative or neutral. This data can be utilised by the organisation to improve its performance and customer satisfaction levels.
spychat
Implementation of a terminal based messaging application named “SpyChat” using Python 2.x. The application is created for spies and helps in encoding a message into an image and sending it to another person, where it is decoded to receive the secret message using the Steganography module
Titanic-Machine-Learning-from-Disaster
Using the tools of Machine Learning and Neural Networks, created a model to predict which passengers survived the tragedy of Titanic.
MansiAgarwal11's Repositories
MansiAgarwal11/10701
MansiAgarwal11/16825-assignment1
MansiAgarwal11/Computer-Vision
Tried basics of Computer Vision using Python 3.x
MansiAgarwal11/dgcnn
MansiAgarwal11/Dog-Breed-Classification
Created a model using ConvNets and Transfer Learning techniques which helps in the prediction of the breed of a dog via its image.
MansiAgarwal11/HPE-Big-Data
MansiAgarwal11/Implementing-ML-algorithms
Basic implementation of Regression, Classification, Clustering, Association Rule Learning, Reinforcement Learning, NLP, Deep Learning algorithms and more!
MansiAgarwal11/Operating-System-Lab-
Codes implemented in the Operating System Practical lab.
MansiAgarwal11/Sentiment-Analyser
Implementation of a Sentiment Analyser using ANN and Non-ANN methods where an organisation can enter its customer’s reviews and the model returns whether the review is positive, negative or neutral. This data can be utilised by the organisation to improve its performance and customer satisfaction levels.
MansiAgarwal11/spychat
Implementation of a terminal based messaging application named “SpyChat” using Python 2.x. The application is created for spies and helps in encoding a message into an image and sending it to another person, where it is decoded to receive the secret message using the Steganography module
MansiAgarwal11/Titanic-Machine-Learning-from-Disaster
Using the tools of Machine Learning and Neural Networks, created a model to predict which passengers survived the tragedy of Titanic.
MansiAgarwal11/HTML_basics
Introduced myself with basics of HTML5. Understood the difference between semantics and syntax. Practiced several tags and also validated my code for better accessibility.
MansiAgarwal11/MansiAgarwal11.github.io
MansiAgarwal11/Preprocessing
MansiAgarwal11/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
MansiAgarwal11/tutorials