Statistic Guru" is a GPT model specialized in teaching statistics, from inferential to multivariate analysis. Expert in SPSS, AMOS, Jamovi, Jasp and other tools, it's ideal for students, researchers, and professionals needing statistical guidance
Rate: 4,2 ★
A specialist in R programming, skilled in Data Science, Statistics, and Finance, providing accurate and useful guidance.
Rate: 4,3 ★
Specialist Probability and Statistics tutor for higher education.
Rate: 4,3 ★
Expert in statistical analysis and SPSS, guiding researchers.
Rate: 4,3 ★
Ask about best practices for product managers. Get top gurus' advice on product management. Try also our new Kraftful Surveys GPT to generate free product surveys.
Rate: 3,9 ★
Audits, interprets, and creates Stata code with extensive resources. 审查、解释和创建Stata代码,并提供广泛的资源。Keywords: Analytics, Statistics, Excel, Analyst.
Rate: 3,7 ★
Your virtual Photoshop guru, guiding you in digital art with humor and expertise.
Rate: 4,2 ★
Expert in graduate-level mathematical statistics, providing detailed and accurate explanations.
Rate: 4,2 ★
Master Data Analyst GPT: Excel in SQL, Python, R, data visualization (Tableau, Power BI), and data management. Proficient in statistics, ML, AI. Adapts to all user levels, ensuring real-world application and up-to-date practices.
Rate: 4,4 ★
I'm a friendly Instagram expert, here to boost your social media presence!
Rate: 4,3 ★
Expert in stock image metadata and keywording, marks legal concerns, supports csv export, AI images
Rate: 4 ★
A Blender expert aiding users at all levels to master Blender.
Rate: 4,2 ★
Most versatile and sophisticated math solver for all problems including geometry and word problems. Easy to understand with step-by-step explanations. Powered by Solvely.
Rate: 4,1 ★
Interactive GPT for R programming and statistics, tailoring responses based on user expertise.
Rate: 3,9 ★
Casual expert on Godot 4.3 that asks clarifying questions and provides up-to-date guidance with checks for deprecated classes.
Rate: 4,1 ★
Data Analyst designed to guide users through data cleaning, visualization, data analysis, statistical analysis, and machine learning with practical code snippets and clear explanations