This template pack provides five ready-to-use AI-powered data analysis workbooks designed to streamline your data processing, visualization, and reporting. Each template integrates with popular AI tools like ChatGPT, Claude, and Google Gemini to accelerate your workflow.
A structured workbook for initial data exploration, including automated summary statistics, correlation matrix generation, and anomaly detection using pandas and seaborn.
Pre-built sections for regression and classification tasks, with prompts for feature engineering, model selection (e.g., Random Forest, XGBoost), and hyperparameter tuning via scikit-learn.
A comprehensive layout for creating interactive dashboards with Plotly and Matplotlib, including chart type recommendations and color palette optimization.
Workbook for text analysis tasks such as sentiment analysis, topic modeling (LDA), and keyword extraction, with integration hooks for spaCy and NLTK.
Template for designing and analyzing experiments, including sample size calculation, statistical significance testing (t-test, chi-square), and result reporting with confidence intervals.
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The templates are designed to work with ChatGPT, Claude, Google Gemini, and other LLMs, plus Python libraries like pandas and scikit-learn.
Basic familiarity with Python is helpful, but each template includes step-by-step prompts and comments to guide non-coders through the analysis.
Yes, all templates are fully editable .ipynb or .xlsx files, allowing you to adjust variables, add sections, or integrate your own datasets.