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abot

Abot makes it easy and fun to build your own digital assistant, and we include everything you need to get started.

advanced-django

Explored Advanced Django concepts

airpoll-analysis-tableau

Analysis of air pollution

analyzing-visualizing-data-excel

aqicalc

A library to convert between AQI value and pollutant concentration (µg/m³ or ppm)

autobot

blockchain

some blockchain experiments i m working on

bootcamp006_project

Bootcamp 6 Student Project Presentation

chatter

clustering

K means Clustering

comeback

comingsoon

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

credit-card-fraud-detection

Handling an imbalanced dataset

dashboard

Frontend Dashboard for Hyperlocal Delivery

decision-tree

Working to check a few parts of Decision Tree on a Heart-disease dataset

diabetes-healthcare

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)

django-polls

using this for training

djangoapiexcercise

djangoblog

drf

dsnd_term1

Contains files related to content and project of DSND

ecomstore

A django Ecommerce Store

expressmiddleware

Exploring Expressjs Middleware features. Using this to learn and teach expressjs

facedetect

facedetection flask app

flask-facedetection

Flask app using openCV and ML for face detection

flutter-ui-kit

Flutter app for collection of UI in a UIKit

flutterdev

gdp-analysis-india-dataset

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

Gesture detection using RNN