Heart Disease Prediction Application Using Genetic Algorithm and Machine Learning
Python Demo
Greenhouse monitoring using Machine Learning and Image processing
This project finds the stage of fruit it can be used for fruit harvesting.
Python Demo
Voice Based Email for Visually Impaired
This is a python application. User need to provide gmail authentication user and password to connect via Google API.
User can compose email and read Unread Emails from gmail inbox
User need not to use mouse clicks. Only user’s voice is taken as input for this application
Python Demo
Face detection along with Emotion and Drowsiness detection
Python Demo
Heart Disease Prediction Using Hybrid Algorithm
IMPLEMENTATION METHODOLOGY
The proposed work is implemented in Python 3.6.4 with libraries scikit-learn, pandas, matplotlib and other mandatory libraries. We downloaded dataset from uci.edu. The data downloaded contains binary classes of heart disease. Machine learning algorithm is applied such as decision tree and random forest along with hybrid model.
DATA DICTIONARY
The dataset collected with attributes age, sex, cp, trestbps, chol, fbs, restecg, thalach, exang, oldpeak, slop, ca, thal, pred_attribute.
Modules
The modules included in our implementation are as follows
- Decision Tree
- Random forest
- Hybrid RF & Linear model
Python – Demo
Liver Disease Prediction through machine learning and deep learning
OBJECTIVES
Objective of study is to implement Liver Disease prediction application based on machine learning techniques.
The major objective is to predict the disease with higher accuracy.
To propose more than one machine learning algorithm and compare to find the best one.
METHODOLOGY USED
- Data Visualization
- Data Splitting
- Machine Learning
- Liver disease prediction
Python Demo Video
