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 |
|---|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 |