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ishanrd19's Projects

bike-rental-ridership icon bike-rental-ridership

Built a Neural Network from scratch to solve a prediction problem that predicts the number of bike-share users on a given day. The UCI Machine Learning database was used for this.

chathoc icon chathoc

Android App for distributed, WiFi-direct based, multi-user chat

data_analysis_with_pandas icon data_analysis_with_pandas

The field of data analytics is quite large. With that in mind, the best way to approach learning data analysis with Python is simply by example. My plan here is to find some datasets and do some of the common data analysis tasks, using the Pandas package, to hopefully get familiar enough with the package.

direct_chat icon direct_chat

Wifi Direct Android Chat App - Enables communication and information sharing between two devices in the form of text, image, audio, video, etc between two devices at distances of Wi-Fi signal via Wi-Fi Direct.

dlnd icon dlnd

Built a Neural Network from scratch to solve a prediction problem that predicts the number of bike-share users on a given day. The UCI Machine Learning database was used for this.

endoscope icon endoscope

Endoscope lets you to stream live video between android devices over Wi-Fi! 📱📲

generate_faces icon generate_faces

In this project, I’ve used Generative Adversarial Networks (GANs) to generate new images of human faces from scratch, based on the neural networks being trained on real human faces. I used the MNIST dataset and CelebFaces Attributes (CelebA) dataset in this project.

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

hostelerp icon hostelerp

Developed on the Django web framework, it uses Service Oriented Architecture (SOA) and focuses on providing all the required services in the hostel accommodation domain.

image_classification icon image_classification

Classified images from the CIFAR-10 dataset consisting of airplanes, dogs, birds, cats, and other objects. I’ve preprocessed the dataset, normalized the images, one-hot encoded the labels, and built a convolutional layer, max pool layer, and fully connected layer to see their predictions on the sample images.

junk icon junk

:notebook: mooc code playground

language_translation icon language_translation

Inspired by the realm of Neural Network machine translation, I trained a sequence-to-sequence (seq2seq) model on a dataset of English and French sentences that can translate new sentences from English to French. The dataset used in this project was the Dataset of English and French Sentences.

linear_regression_demo icon linear_regression_demo

This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

linear_regression_live icon linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

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