babureddyks Goto Github PK

airbnb-booking-analysis-2019

Airbnb Booking Analysis of NewYork City dataset of 16rows *48k columns

assignment

classification model using NLP

automation-using-selenium-python

Web scraping for Store Details in various key word search results.

aws

Object Detection deployment in aws

babu6030

Config files for my GitHub profile.

babureddyks.github.io

bike-sharing-demand-prediction

Prediciton was using Datafile name SoeulBikeSharing.CSV file of 600KB file consists of 14columns and 8670rows.

capstone-3-coronavirus-tweet-sentiment-analysis

capstone-5--real-time-face-emotion-recognition

capstone-project-4-customer-segmentation

cardiovascular-risk-prediction

Demographic: Sex: male or female("M" or "F") Age: Age of the patient;(Continuous - Although the recorded ages have been truncated to whole numbers, the concept of age is continuous) Behavioral is_smoking: whether or not the patient is a current smoker ("YES" or "NO") Cigs Per Day: the number of cigarettes that the person smoked on average in one day.(can be considered continuous as one can have any number of cigarettes, even half a cigarette.) Medical( history) BP Meds: whether or not the patient was on blood pressure medication (Nominal) Prevalent Stroke: whether or not the patient had previously had a stroke (Nominal) Prevalent Hyp: whether or not the patient was hypertensive (Nominal) Diabetes: whether or not the patient had diabetes (Nominal) Medical(current) Tot Chol: total cholesterol level (Continuous) Sys BP: systolic blood pressure (Continuous) Dia BP: diastolic blood pressure (Continuous) BMI: Body Mass Index (Continuous) Heart Rate: heart rate (Continuous - In medical research, variables such as heart rate though in fact discrete, yet are considered continuous because of large number of possible values.) Glucose: glucose level (Continuous) Predict variable (desired target) 10-year risk of coronary heart disease CHD(binary: “1”, means “Yes”, “0” means “No”) -DV

check_engine

This Autmobile solution provider app

convolution-neural-networks

Coursera assignment

coronavirus-tweet-sentiment-analysis

customer-segmentaion

In this project, your task is to identify major customer segments on a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail

deep-learnings

face-emotion-recognition

Facial emotion recognition is the process of detecting human emotions from facial expressions.

face-emotion-recognition-1

This is a few shot learning live face emotion detection system. The model should be able to real-time identify the emotions of students in a live class.

face-emotionz-webapp

Streamlit web-app using OpenCV to recognize faces in a photo and my custom tensorflow DNN to recognize emotions in those faces.

face-recognition-drowsiness-detection

frappe_docker

Docker images for production and development setups of the Frappe framework and ERPNext

leaves-detection-project

manigan

Pytorch implementation for ManiGAN: Text-Guided Image Manipulation.

microsoft-teams-class-attender

A bot to attend classes on microsoft teams

real-time-face-emotion-recognition

sales-performance-project

shares-prediction-on-social-media

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io