Machine Learning Disease Prediction And Drug Recommendation

Description

In this course, you will learn:

• In data science, use Pandas to import datasets and perform data operations.
• Create a list in Python and append to it.
• Create a NumPy array, one dimensional array, and convert it to a two-dimensional array.
• Preprocessing data using Pandas and Scikit Learn
• Use the train test split function to divide the dataset into training and testing sets.
• To develop a model using supervised machine learning techniques
• Learn the link between Views, URLs, and templates in Django.
• Create a project and an application in Django.
• Integrate the concepts of JQuery, Ajax, Django, and machine learning
• Create a Django web app for delivering machine learning models.
• Learn how to install machine learning models in Django.

Syllabus:

1. Environment Set

• Installation of Python
• Installation of Coding Editors
• Install Anaconda, Xampp and Run A Project

2. Python Basics

• Python Introduction And Hello World
• Variable Declaration, Initialization And Data Types
• Python Data Structure
• Control Structure
• Python Functions

3. Disease Prediction

• Loading Dataset
• Feature Selection And Train Tet split
• Guassian Naive Bayes
• Random Forest Classifier

4. Drug Recommendation

• Loading Dataset
• Data Preprocessing
• Random Forest Classifier
• Gaussian Naive Bayes

5. Create Django Project

• Create Django Project and Application
• Creating Model
• Creating Users
• Home Page

6. User Registration And Log In

• User registration
• User login

7. Patient Dashboard

• Patient Dashboard And Create Profile
• Predicting Disease
• Diagnosis Result And Appointment

8. Doctor Dashboard

• Creating Doctor Dashboard
• Recommending Drug Names

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