ML for Data Analysis
Gain proficiency in predictive modeling through machine learning techniques, building on prerequisite knowledge from Course 3, and covering supplementary concepts to develop practical skills in addressing research inquiries.
Description for ML for Data Analysis
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Wesleyan University
Duration: 10 hours (approximately)
Schedule: Flexible
Pricing for ML for Data Analysis
Use Cases for ML for Data Analysis
FAQs for ML for Data Analysis
Reviews for ML for Data Analysis
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML for Data Analysis
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
The course focuses on building and analyzing machine learning prediction models with Google Colab and the What-If Tool.
Brief Overview: By enabling business professionals to use data science expertise in real-world scenarios, this specialization gets them ready for the CDSP certification.
Master the CRISP-DM methodology, identify optimal data sources, and select appropriate analytic models with our comprehensive AI course on data science methodology.
This AI course instructs data scientists on the development of automated algorithms using Watson Studio's AutoAI, with an emphasis on hyperparameter optimization, feature engineering, and model selection.
Apply mathematical concepts to real-world data, derive PCA from a projection perspective, comprehend orthogonal projections, and master Principal Component Analysis.