Priyankita Nandi's Projects
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Code and walkthrough labs to set up a serverless web application for the Wild Rydes Workshop
we predict house prices in Bangalore city
BigQuery ML SQL templates for common marketing use cases
Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"
Customer Churn Prediction in Telco. Predict the customer churn in Telco data provided by DQLab
Standalone R examples for Google Analytics -- published as a sub-site within dartistics.com
Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Chronic Disease Prediction Using Medical Notes
The objective of the Pima Indian diabetes dataset is to diagnostically predict whether a patient has diabetes based on certain diagnostic information included in the dataset. All the patients are female and of Pima Indian heritage.
A simple data analysis project using python from the UCSanDiegoX: DSE200x course
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Image classification neural network model demonstration in Pytorch. The Fashion MNIST dataset is made up of images from fashion chain: Zalando. It contains a training set of 60,000 images, and a test set of 10,000 images. Each image is a 28 x 28 gray scale image associated with the label from 10 classes. Each training and test example is assigned to one of the following labels. Label zero refers to a T-shirt. Label one is a trouser, and so on. Train a neural network model so that it can distinguish between the different classes of objects. What do the different images in the dataset look like?
Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. This dataset was used to evaluate prediction algorithms in an effort to reduce burden on doctors. This data set contains 416 liver patient records and 167 non liver patient records collected from North East of Andhra Pradesh, India. The "Dataset" column is a class label used to divide groups into liver patient (liver disease) or not (no disease). This data set contains 441 male patient records and 142 female patient records. By using these patient records we determine which patients have liver disease and which ones do not.
Awesome list of iOS app branding/marketing tools
build a live stock market price prediction extraction tool to demonstrate my web scraping and BeautifulSoup python package knowledge. This simple extraction tool can be used in any website project.
BRINDIE FREE - an .ai sourcefile with sizes for art assets needed to create Facebook page, Twitter profile, Steam Store page and Steam Developer page
A real-world big data analytics hands-on coding tutorial using PySpark. Also, it is loosely based on a past client project. Users are continuously connecting to the service and listening to tracks that they like - this generates our main data set. The behaviors captured in these events, over time, represent the highest level of detail about actual behaviors of customers as they consume the service by listening to music. In addition to the events of listening to individual tracks, we have a few other data sets representing all the information we might normally have in such a service.
Config files for my GitHub profile.
welcome to my portfolio site
This house price prediction project will help you predict the price of houses based on various features and house properties.
I will explain and share python scripts to accomplish different tasks
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks".
Open-source self-hosted email marketing. Manage your own newsletters at a fraction of the cost.
Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –
Creates a customer service chatbot to communicate with customers of a fictional company via their Facebook page and Slack channel.
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Datasets for the TensorHouse project
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent