Plant Leaf Disease Detection using Deep learning algorithm
Deep Learning Projects , Python Projects

Plant Leaf Disease Detection using Deep learning algorithm

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System Architecture for Plant Leaf Disease Detection

MODULES

The modules included in our implementation are as follows

  • Dataset collection
  • Data pre-processing
  • Training and prediction using Regression Models

DATASET COLLECTION

The dataset is downloaded from kaggle.com with two classes ‘healthy’ and ‘diseased’. The dataset contains plant leaf image with training set and test set folders.

The dataset variable names are described below

Variable nameAttribute Description
ClassBinary class ‘healthy’ and ‘diseased’
Training set364 images in diseased 388 images in healthy
Test set60 images in diseased 60 images in healthy

Project Demo Video

Plant Leaf Disease Detection through Deep Learning Algorithm
Heart Disease Prediction Using Hybrid Algorithm
Machine Learning Projects , Python Projects

Heart Disease Prediction Using Hybrid Algorithm

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System Architecture – Heart Disease Prediction

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
Machine Learning Projects , Deep Learning Projects , Python Projects

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
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System Architecture- Liver Disease Prediction

Python Demo Video

Liver Disease Prediction through machine learning and deep learning | ieee project demo