maddymaster Goto Github PK
Name: Maddy
Type: User
Company: Ambee
Bio: CTO @ Ambee
Twitter: maddymaster
Location: Bangalore
Blog: http://maddyanand.com
Name: Maddy
Type: User
Company: Ambee
Bio: CTO @ Ambee
Twitter: maddymaster
Location: Bangalore
Blog: http://maddyanand.com
Abot makes it easy and fun to build your own digital assistant, and we include everything you need to get started.
Explored Advanced Django concepts
Analysis of air pollution
A library to convert between AQI value and pollutant concentration (µg/m³ or ppm)
some blockchain experiments i m working on
Bootcamp 6 Student Project Presentation
K means Clustering
Lectures for Udemy - Complete Python Bootcamp Course
Handling an imbalanced dataset
Frontend Dashboard for Hyperlocal Delivery
Working to check a few parts of Decision Tree on a Heart-disease dataset
A care management organisation called WeCare wants to identify among its diabetic patients, the ones that are at high risk of getting re-admitted to the hospital. They wish to intervene by providing some incentive to these patients that will help them improve their health. As the star analyst of this organisation, your job is to identify high-risk diabetic patients through risk stratification. This will help the payer to decide what are the right intervention programs for these patients. Data preparation Remove redundant variables, duplicate rows/columns Check for missing values and treat them accordingly. Scale numeric attributes and create dummy variables for categorical ones. Change the variable 'readmitted' to binary type by clubbing the values ">30" and "<30" as "YES". Create the derived metric 'comorbidity', Data Exploration Perform basic data exploration for some categorical attributes Perform basic data exploration for some numerical attributes Model Building Divide your data into training and testing dataset Train and compare the performance of at least two machine learning algorithms and decide which one to use for predicting risk of readmission for the patient. Important feature for each model is calculated. Use trained model to stratify your population into 3 risk buckets: High risk (Probability of readmission >0.7) Medium risk (0.3 < Probability of readmission < 0.7) Low risk (Probability of readmission < 0.3)
using this for training
Contains files related to content and project of DSND
A django Ecommerce Store
Exploring Expressjs Middleware features. Using this to learn and teach expressjs
facedetection flask app
Flask app using openCV and ML for face detection
Flutter app for collection of UI in a UIKit
GDP Analysis india data set downloaded from data.gov.in for the period 2011 and 2017. data downloaded from data.gov.in, some data is missing for WB, some years missing data (missing at source).
Gesture detection using RNN
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.