Home AI Courses Classification Of Machine Learning In Kyphosis Desease

Classification Of Machine Learning In Kyphosis Desease

(0 reviews)

Utilize Sklearn to create decision tree and random forest models for the prediction of kyphosis, with potential applications in healthcare diagnostics.

Key AI Functions:data science,python programming,machine learning,statistical classification,ai & machine learning

Description

Reviews

Alternative Tools

Description for Classification Of Machine Learning In Kyphosis Desease

Decision Trees and Random Forest Classifiers: Comprehend the fundamental theory and intuition of decision trees and random forest classifiers, which are indispensable for precise predictive modeling.
Sklearn Model Building: Implement Python's Sklearn library to acquire practical experience in the development, training, and testing of decision tree and random forest models.
Feature Engineering and Data Cleaning: Execute critical data cleansing, feature engineering, and data visualization techniques to enhance the accuracy of the model.
Application in the Healthcare Sector: This endeavor is both practical and industry-relevant by utilizing machine learning techniques to predict kyphosis, a healthcare condition.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours at your own pace

Schedule: Hands-on learning

Reviews for Classification Of Machine Learning In Kyphosis Desease

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Foundations of Data Science: K-Means Clustering in Python

Beginners Guide to ChatGPT: AI for Market Research

Amazon Bedrock - Getting Started with Gen AI

Alternative Tools for Classification Of Machine Learning In Kyphosis Desease

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

NovaceneAI

Freemium

NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.

#research #automation

Posit

Paid

Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.

#project management # library

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

Gen AI: Elevate Your Data Science Career

Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.

#Data Science #Data Analysis

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Code Generation for Python

Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

#Prompt Engineering #Python Programming Language

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models