ChatGPT for Data Science Projects
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The document provides a comprehensive guide on using ChatGPT for various stages of data science projects, including setting up for data analysis, data exploration and analysis, building predictive models, and model evaluation. It outlines specific prompts and coding tasks for gaining insights, identifying correlations, testing hypotheses, and training models with different algorithms. Each section offers practical guidance on utilizing ChatGPT to facilitate each aspect of the data science workflow.
ChatGPT for Data Science Projects
- 1. ChatGPT for Data Science Projects https://vitalflux.com 5/6/2023 https://vitalflux.com 1
- 2. Topics Setting up ChatGPT for Data Analysis Data Exploration and Analysis with ChatGPT Building Predictive Models with ChatGPT Model Evaluation and Selection with ChatGPT 5/6/2023 https://vitalflux.com 2
- 3. Setting Up ChatGPT for Data Analysis 5/6/2023 https://vitalflux.com 3
- 4. Setting Up ChatGPT for Data Analysis Execute the following prompt for ChatGPT to get set up for data analysis Be an expert data scientists. Help me extract insights from the data. Here is the X no. of records as dataset. 18.0 8. 307.0 130.0 3504. 12.0 70. 1. "chevrolet chevelle malibu" 15.0 8. 350.0 165.0 3693. 11.5 70. 1. "buick skylark 320“ Have you understood the dataset and related information? 5/6/2023 https://vitalflux.com 4
- 5. Data Exploration and Analysis with ChatGPT 5/6/2023 https://vitalflux.com 5
- 6. Data Exploration and Analysis with ChatGPT • Give me top 3 insights from the dataset • What are the most common values for each attribute? • Are there any trends or patterns in the data? Identify Insights • Identify any outliers in the dataset and decide on a strategy for handling them, such as removing them or replacing them with a more reasonable value. • How many outliers are there in the data? • What is the range of values for each attribute? Find Outliers 5/6/2023 https://vitalflux.com 6
- 7. Data Exploration and Analysis with ChatGPT • What are the correlations between the attributes in the dataset? • Which attributes are most strongly correlated with the target variable? • Are there any correlations between the categorical variables? • Write Python code for visualizing correlations Identify Correlations • What is the distribution of values for each attribute? • Are the distributions skewed or symmetric? • Are there any outliers in the distribution? • Write Python code for visualizing distributions Discover Distributions 5/6/2023 https://vitalflux.com 7
- 8. Data Exploration and Analysis with ChatGPT • What hypothesis do you think can be tested from the data given earlier? • Write Python code for performing hypothesis test Hypothesis Testing • Write Python code that can help visualize the relationships existing in the dataset? •Data Visualization 5/6/2023 https://vitalflux.com 8
- 9. Data Exploration and Analysis with ChatGPT • Which attributes are most relevant to the target variable? • Can we create new features by combining existing attributes? • Which features are redundant or irrelevant and can be removed? • Write Python code for extracting most relevant features Extract Features 5/6/2023 https://vitalflux.com 9
- 10. Building Predictive Models with ChatGPT 5/6/2023 https://vitalflux.com 10
- 11. Building Predictive Models with ChatGPT Can I build a predictive model using this data? What can I predict? What is the distribution of the target variable? Are there any outliers in the target variable? Identify Target Variables Which attributes are most relevant to the target variable? Can we create new features by combining existing attributes? Which features are redundant or irrelevant and can be removed? Select Predictors 5/6/2023 https://vitalflux.com 11
- 12. Building Predictive Models with ChatGPT Which algorithm is most appropriate for the problem and the data? •Should we use a linear regression, decision tree, or neural network model? •What are the pros and cons of each algorithm? Choose Algorithm Create Python code for training the model using {algorithm} Create Python code for training the model using {algorithm} while also performing hyperparameter tuning This prompt can be used repeatedly for different algorithms. Train Model 5/6/2023 https://vitalflux.com 12
- 13. Model Evaluation & Selection with ChatGPT 5/6/2023 https://vitalflux.com 13
- 14. Model Evaluation and Selection with ChatGPT Evaluate Model Performance • How can I evaluate the performance of the model trained using {algorithm}? • What are the metrics for evaluating models trained using {algorithm}? • Rewrite the python code while including evaluation metrics and printing them Hyperparameter tuning • What are different hyperparameters which can be tuned for the model trained using {algorithm}? • How can I fine-tune the hyperparameters of the model trained using {algorithm} in order to improve performance? • Rewrite the model training python code with hyperparameters tuning 5/6/2023 https://vitalflux.com 14
- 15. Model Evaluation and Selection with ChatGPT Model Selection • How can I compare the performance of different models trained using {algorithm1}, {algorithm2}? • What are the advantages and disadvantages of each model? 5/6/2023 https://vitalflux.com 15