Description
Machine Learning Disease Prediction And Drug Recommendation, a training course on the application of machine learning in disease diagnosis and drug recommendation, has been published by Yudemi Academy. This is a complete machine learning course. This course covers all the basic concepts in Python, Pandas, Django, Ajax and Scikit. This course begins with a Jupyter notebook where we will perform various operations on data. Learning Introductory Python covers most of the control structure and Django. The final goal of this course is to teach how to implement a machine learning model on the Django framework. In fact, the purpose of machine learning is to learn how to apply machine learning models and solve society’s problems.
The methodology used in the training is very easy and understandable. In Python we learn the concepts that are needed in deploying a model in Django. It includes list, array, tuple, dictionary, conditional statement, loop and functions. The created model, which is a disease prediction model and a drug name recommendation model, will be deployed in various Django web application dashboards. The disease prediction model is installed in the patient’s dashboard and the drug name recommendation model is installed in the doctor’s dashboard. If there is a misunderstanding based on the result of the disease prediction and the recommendation of the name of the drug, the patient can request a meeting with the doctor. Doctors usually use machine learning models to recommend drug names and schedule patient appointments.
What you will learn
- Using Pandas in data science to load datasets and operate on data
- Creating lists in Python and appending to a list
- Create Numpy array, 1D array and convert 1D array to 2D array
- Data preprocessing using Pandas learning and scikit
- Use the learning-test split function to split the data set into learning and test sets
- Model creation using supervised machine learning algorithms
- You will learn the relationship between Views, URLs, and templates in Django
- How to create a project and an application in Django
- Familiarity with the concepts of JQuery, Ajax, Django and machine learning
- Creating a Django web application to implement the machine learning model
- You will learn how to implement a machine learning model in Django
Who is this course suitable for?
- Beginners in Python
- Beginners in machine learning
- Beginners in predictive analytics
- Beginners in data science
- Beginners in artificial intelligence
Details of the Machine Learning Disease Prediction And Drug Recommendation course
- Publisher: Udemy
- teacher : Noel Moses Mwadende
- English language
- Education level: all levels
- Number of courses: 30
- Training duration: 6 hours and 11 minutes
Chapters of the Machine Learning Disease Prediction And Drug Recommendation course
Course prerequisites
- Python Basics, Python Flask basics and Django web framework basics
- Machine Learning Basics and Python Pandas
- Javascript basics and Ajax
- Computer with minimum of 4 RAM and 250 HDD.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
2.96 GB
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