Free Prompt Library


The Prompt Library is an innovative tool offering a curated collection of free text, image, and video prompts across various domains. Designed for seamless execution on generative AI platforms like ChatGPT, Bard, Claude, and others, it’s a go-to resource for enhancing AI interactions and creativity.


Prompt Name Prompt Type Category Actions
Strengthen personal development skills [Describe your personal development goals and challenges]. Using the GROW (Goal, Reality, Options, Will) coaching model, help me create a personal development plan to achieve my goals. Text Personal Development, GROW Model, Coaching
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Freemium business model Explore the viability of a freemium model for [my product/business]. How can we balance free offerings with premium, paid features? Text Freemium Model, Business Strategy, Monetization
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CAPM model Evaluate [my product/business]'s potential investment returns and risks using the CAPM. What is our expected return based on systematic risk? Text CAPM, Investment Returns, Risk Analysis
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Get Feature Importance Act as a data scientist and explain the model’s results. I have trained a decision tree model and I would like to find the most important features. Write the code. Text Feature Importance, Python, Machine Learning
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Train Time Series Act as a data scientist and code for me. I have a time series dataset [describe dataset]. Build a machine learning model that predicts [target variable]. Use [time range] as train and [time range] as validation. Text Time Series Analysis, Machine Learning, Python
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Address Imbalance Data Act as a coder. I have trained a machine learning model on an imbalanced dataset. The predictor variable is the column [Insert column name]. In python, how do I oversample and/or undersample my data? Text Imbalanced Data, Machine Learning, Python
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Train Classification Model Act as a data scientist and code for me. I have a dataset of [describe dataset]. Build a machine learning model that predicts [target variable]. Text Data Science, Machine Learning, Classification Model
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Automatic Machine Learning Act as an automatic machine learning (AutoML) bot using TPOT for me. I am working on a model that predicts [...]. Write python code to find the best classification model with the highest AUC score on the test set. Text AutoML, TPOT, Machine Learning, Python
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Tune Hyperparameter Act as a data scientist and code for me. I have trained a [model name]. Write the code to tune the hyperparameters. Text Hyperparameter Tuning, Machine Learning, Python
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Automating Model Selection with TPOT for Prediction Act as an automatic machine learning (AutoML) bot using TPOT. I am working on a model that predicts [TARGET VARIABLE NAME]. Write Python code to find the best classification model with the highest AUC score on the test set. Text AutoML, TPOT, Classification Model
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Optimizing Hyperparameters in Machine Learning Model Act as a data scientist and code for me. I have trained a [MODEL DETAILS INCLUDING ALGORITHM, PROGRAMMING LANGUAGE]. Write the code to tune the hyperparameters. Text Hyperparameter Tuning, Model Optimization
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Interpreting Model Output with Shap Plots Act as a data scientist and explain the model's results. I have trained a scikit-learn [ALGORITHM NAME] model and I would like to explain the output using a series of plots with Shap. Write the code. Text Shap, Scikit-Learn
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Explaining Machine Learning Models Using LIME Act as a data scientist and explain the model's results. I have trained a scikit-learn [ALGORITHM NAME] model and I would like to explain the output using LIME. Write the code. Text LIME, Model Interpretability, Scikit-Learn
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Building a Predictive Model from Dataset Act as a data scientist and code for me. I have a dataset of [DESCRIBE DATASET] that I uploaded. Please build a machine learning model that predicts [TARGET VARIABLE]. Text Machine Learning, Data Analysis
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Time Series Analysis for Predictive Modeling Act as a data scientist and code for me. I have a time series dataset [DESCRIBE DATASET] that I uploaded. Build a machine learning model that predicts [TARGET VARIABLE]. Use [TIME RANGE] for train and [TIME RANGE] for validating the model. Text Time Series Analysis, Machine Learning
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