Pinned Repositories
abot
Abot makes it easy and fun to build your own digital assistant, and we include everything you need to get started.
aqicalc
A library to convert between AQI value and pollutant concentration (µg/m³ or ppm)
Chatter
credit-card-fraud-detection
Handling an imbalanced dataset
django-polls
using this for training
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).
livetracking
Live tracking for mobile, vehicles, mobile employees for logistics, employee transport, cabs, vehicles, hikers, cyclists etc.,
musicserv
django training
store-api
Experimental project for some api source code
twitterdjango
maddymaster's Repositories
maddymaster/musicserv
django training
maddymaster/store-api
Experimental project for some api source code
maddymaster/aqicalc
A library to convert between AQI value and pollutant concentration (µg/m³ or ppm)
maddymaster/india-airpollution-dataset
Indi-airpollution-dataset
maddymaster/python-tutorial
Python Tutorial
maddymaster/credit-card-fraud-detection
Handling an imbalanced dataset
maddymaster/airpoll-analysis-tableau
Analysis of air pollution
maddymaster/blockchain
some blockchain experiments i m working on
maddymaster/clustering
K means Clustering
maddymaster/comeback
maddymaster/decision-tree
Working to check a few parts of Decision Tree on a Heart-disease dataset
maddymaster/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)
maddymaster/ecomstore
A django Ecommerce Store
maddymaster/facedetect
facedetection flask app
maddymaster/flask-facedetection
Flask app using openCV and ML for face detection
maddymaster/flutterdev
maddymaster/gesture-detection
Gesture detection using RNN
maddymaster/indiagdpanalysis
India GDP Analysis
maddymaster/jason_bourne
maddymaster/maddy-pytorch
pytorch learning repo
maddymaster/map-experiments
Trying out and experimenting Open Layers Maps
maddymaster/MyUltimate-RAG
Developing Advanced Applications with Large Language Models (LLMs) and High-Level Frameworks
maddymaster/pca
Principal component Analysis
maddymaster/plotly-dash
A few examples of using plotly Dash
maddymaster/react-redux
learning react
maddymaster/scrapy-splash
webscraping using python scrapy and splash selenium
maddymaster/sustainlab
maddymaster/sustainlabs
maddymaster/sustainlabs.github.io
maddymaster/telecom-churn
Using machine learning to predict customers who will churn