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arushi04

arushi04.github.io

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character-level-rnn

This project trains a few thousand names from 18 languages of origin and predicts which language a name is based on the spelling. It uses a character-level LSTM model to predict the next character. The model reads words as a series of characters and outputs a prediction and a “hidden state” at each step, feeding its previous hidden state into each next step. We take the final prediction to be the output, i.e. which class the word belongs to.

computer-vision

It contains all the basic code to start with the computer vision learning

covid-19-analysis

This project does analysis on confirmed, death, and recovered cases of COVID-19 across the world and predicts the death of patients. It also predicts the spread of covid-19 in USA using SIR model.

deep-learning

deepdream

devops_terraform

Includes the code for accessing AWS services through terraform

digit-classification-mnist

We will be doing multiclass classification using Pytorch

finding-copycats

forecasting-grocery-sales

The project does exploratory data analysis and uses multiple forecasting models to forecast grocery sales for next 15 days for a grocery store.

gan_on_mnist_fashion

github-readme-stats

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handbag_brand_and_color_detection

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.

house-price-prediction

image-segmentation-and-clustering

Image Segmentation and clustering on handbag images to find color attributes for Handbags

imageclassification

This project explores image classification using PyTorch on the CIFAR10 dataset. The model has been trained using Convolutional Neural Network.

information-retrieval

This repo contains mini projects in Information Retrieval. Covers indexing, document ranking, web crawling, page ranking, and evaluating different models

kaggle-titanic

machine-translation

machinelearning_cs229

Contains the implementation of ML algorithms

named-entity-recognition-on-social-media-data

This project helps to identify the classes present in the unstructured text of social media and tags the tokens as person, location, group, creative-work, product and corporation.

nlp

nlp-vectorspacemodels

objectdetection

Object detection with real time video streaming from Kafka

python-scripts-for-scraping-and-machine-translation

r_projects

contains small projects in R

sentiment-analysis

spam-classification

Spam Classsification of Emails