Data science intertwines mathematical and statistical principles, specialized coding, advanced analytics, artificial intelligence (AI), and machine learning with precise domain knowledge to reveal actionable insights concealed within an organization’s data. These revelations serve as guides for decision-making and strategic planning processes
Data science is recognized as a discipline, with data scientists serving as its practitioners. However, data scientists are not always directly accountable for every stage in the data science lifecycle. For instance, data engineers typically manage data pipelines, although data scientists may advise on the types of data needed. While data scientists can construct machine learning models, expanding these efforts on a larger scale demands additional software engineering expertise to optimize program performance. Hence, it’s common for data scientists to collaborate with machine learning engineers to scale machine learning models.
The responsibilities of data scientists often intersect with those of data analysts, particularly in exploratory data analysis and data visualization. Nevertheless, the skill set of a data scientist is generally broader than that of the average data analyst. Data scientists typically employ common programming languages like R and Python to conduct more extensive statistical inference and data visualization.
ChatGPT prompt for Data Science
- I want you to act as a data scientist and code for me. I have a dataset of [describe dataset]. Please build a machine learning model that predict [target variable]
- I want you to act as an automatic machine learning (AutoML) bot using TPOT for me. I am working on a model that predicts […]. Please write python code to find the best classification model with the highest AUC score on the test set.
- Can you help me train a [model name]. Please write the code to tune the hyperparameters.
- I have a dataset of [describe dataset]. Please write code for data visualization and exploration.
- I need a dataset that has x rows and y columns: [insert column names].
- Please write me a regex in python that [describe regex]
- I have a time series dataset [describe dataset]. Please build a machine learning model that predicts [target variable]. Please use [time range] as train and [time range] as validation.
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