Machine Learning Capstone
Create a final presentation to evaluate peer projects, train neural networks for regression and classification, and develop Python-based recommender systems. Additionally, employ KNN, PCA, and collaborative filtering.
Description for Machine Learning Capstone
Features of Course
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by IBM
Duration: 20 hours (approximately)
Schedule: Hands-on learning
Pricing for Machine Learning Capstone
Use Cases for Machine Learning Capstone
FAQs for Machine Learning Capstone
Reviews for Machine Learning Capstone
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Machine Learning Capstone
The AI tool specializes in sentiment analysis, competitive analysis, custom analytics, Amazon marketplace analysis, review export, comprehensive help resources, and social media presence to meet diverse user needs effectively.
The AI tool enables organizations to create personalized multi-channel experiences for their clientele, featuring audience segmentation and a user-friendly platform with a complimentary 14-day trial and enterprise pricing options.
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.
Utilizing AI technology, this tool streamlines statistical analysis tasks, automates calculations, supports various data formats, and provides visualization tools for efficient and precise scientific research.
The AI generator, drawing from various sources, facilitates user interaction to produce content, making it beneficial for startups and individuals seeking to explore and enhance their knowledge across different subjects.
The tool employs AI to assist users in understanding intricate documents, offering features such as content analysis, summarization, and language analysis, with plans for further enhancements.
The AI tool utilizes advanced technology to streamline product research and feedback analysis, offering quick insights, collaborative opportunities, integration options, a user-friendly interface, a free tier option, and team collaboration features.
CensusGPT is an AI tool that simplifies access to census data, offering tabular data and visual representations in response to user queries. It targets economists, researchers, and individuals interested in demographic analysis, leveraging the TextSQL framework for seamless interaction with datasets.
The AI Task Manager simplifies project management through features like project cost calculation, automated scheduling, data analysis, and user-friendly interface, enabling efficient planning and timely project completion.
Breadcrumb.ai swiftly converts data into interactive presentations, reports, and interfaces, leveraging AI for intuitive insights exploration and seamless integration with various data sources, facilitating quick decision-making.
Featured Tools
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Master the art of machine learning in the field of marketing. This five-course Specialization from Jindal Global Business School (JGBS) is designed for marketing professionals and individuals who are interested in acquiring a more comprehensive understanding of the process of conceptualizing effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.