Home AI Courses Supporting Vector Machines in Python, From Start to Finish

Supporting Vector Machines in Python, From Start to Finish

(0 reviews)

Learn to import, manipulate, and format data in pandas, optimize parameters, and build, evaluate, and interpret support vector machines.

Key AI Functions:Data Science,Python Programming,Machine Learning,Support Vector Machine (SVM),classification

Description

Reviews

Alternative Tools

Description for Supporting Vector Machines in Python, From Start to Finish

Importing data into and manipulating a pandas dataframe

Format the data for a support vector machine, which includes missing data and One-Hot Encoding.

Optimize the parameters for the classification and radial basis function.

Develop, assess, illustrate, and interpret a support vector machine.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours

Schedule: Hands-on learning

Reviews for Supporting Vector Machines in Python, From Start to Finish

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Advanced ML & Signal Processing

Managing ML Projects with Google Cloud

Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

Alternative Tools for Supporting Vector Machines in Python, From Start to Finish

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

Expense Sorted

Freemium

Expense Sorted employs AI to automate expense categorization, integrates securely with Google Sheets, offers a streamlined user interface, customizable categories, and manual adjustment options, making it a valuable tool for efficient budget management.

#finance #life assistant

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