a-yush Goto Github PK

advanced-regression

Assignment repository for Advanced linear regression. Course is AI-ML PGD from IIIT Bangalore

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-transcribe-examples

androidprojects

batbrain7.github.io

churn-prediction

A Supervised machine learning project based on Churn Prediction of www.turi.com. The labels were made by evaluating the most important features using feature extraction techniques. Used time series data for the prediction on test sets.

course

Github module exercise for ML diploma

datavisuals

Data Visualization jupyter notebooks for simplicity.

formbot

Using messenger to write forms using google spreadsheets

fraud_detection

Test repo for diploma course

gesture-recognition

Building a neural network which correctly identifies the gestures in the form of video frames. It is a multiclass classification problem.

jobot

keras-databases

Implemented various deep learning problems of supervised learning using keras with tensorflow as backend .

lendingclubcasestudy

Case study on Lending Club Loan dataset which involves EDA on the loan dataset and generate insights on the parameters contributing to loan defaults.

linearregressioncasestudy

This repository contains the files for linear regression case study for IIIT Bangalore Post Graduate Diploma

melanoma-skin-cancer-detection

Upgrad Assignment for CNN

minor

This repo contains the jupyter notebooks for Paysim Mobile Fraud Transaction

naive-bayes

named_entity_recognition_healthcare_data

Named Entity Recognition in Healthcare data to identify possible diseases and their suggested treatments from a corpus of medical text containing both disease and treatment.

nutribot

A nutrition bot giving the amount of nutrients present in food with the help of nutritionx api. used python and django and app deployed on heroku.

report-creation-using-survey

This is a repository explaining how to create an AWS environment to generate a detailed report based on the predefined questions and corresponding answers stored in a database

scraping

telecom-churn-case-study

Case study for telecom churn using different ML Models

times_vending

a beverage vending website with admin portal .