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heart_classification_model

The model is build to classify if a patient will have heart disease or not given some variables. The model has 85 percent accuracy of predicting correctly if a patient will likely have a heart disease or not with a linearRegression model

hourelectricityoutput

he dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant. A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is colected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance. For comparability with our baseline studies, and to allow 5x2 fold statistical tests be carried out, we provide the data shuffled five times. For each shuffling 2-fold CV is carried out and the resulting 10 measurements are used for statistical testing. We provide the data both in .ods and in .xlsx formats. The model used for this project are LinearRegression and Ridge Regression.

image-classification-with-pytorch

Image classification using VGG16 transfer learning model

image-identification-for-self-driving-cars

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

image_triplet_loss

Image similarity using Triplet Loss

intro-to-terraform

Sample code for the blog post series "A Comprehensive Guide to Terraform."

k8s-fleetman

kubernetes-files

nanos_ml_task

A machine learning model that predict the crew size in a ship.

object-detection

A deep learning model using MobileNet and opencv to detect objects and faces.

petstore-

plant-disease-detection-keras

Plant Disease Detection model built with Keras and FastAPI

population_prediction

the program is being used to estimate the population of a country for a give number of years

productionalizing-data-pipelines-airflow

Productionalizing Data Pipelines with Apache Airflow

quantifying-monetary-savings-through-preventative-work

Analysis into cost saving for care service

random

use in a game of chance

randomnumber

use in the game of chance to predict a particular number

recommendation-model

robot

Functions and classes for gradient-based robot motion planning, written in Ivy.

sentiment_analysis

Analysis and Comparison of sentiments from product reviews

sentiment_flask

sentiment_flask_api

sentimental-analysis-on-threat

simple-neural-network-architecture

A simple Python script showing how the backpropagation algorithm works.

spring-boot-mongo-docker

stockclosingpriceprediction

a model to predict the closing price of stocks using the NYSE stock for experimentation

streamlit-example

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

student-performance-criteria

Statistical analysis for performance of student and the effect on their promotional exams

todo-list

An App that get different recipes of fruits and the ingredient used for it for preparing it.

twitter_sentiment_analysis