Snorkel is used by several large companies, such as Google, Apple, Stanford Medicine, and Tide, and it has proven to solve business problems on a large scale. For example, as …
Why is Snorkel popular? – Labeling Data for Classification Read MoreData labeling using Snorkel In this section, we are going to learn what Snorkel is and how we can use it to label data in Python programmatically. Labeling data is …
What is Snorkel? – Labeling Data for Classification Read MoreWe will explore the process of predicting labels for tabular data classification tasks using large language models (LLMs) and few-shot learning. In the case of few-shot learning, we provide a …
Predicting labels with LLMs for tabular data – Labeling Data for Classification Read MoreIn this chapter, we are going to learn how to label tabular data by applying business rules programmatically with Python libraries. In real-world use cases , not all of our …
Technical requirements – Labeling Data for Classification Read MoreThis way, the LangChain Pandas DataFrame agent facilitates interaction with the DataFrame by interpreting natural language queries, generating corresponding Python code, and presenting the results in a human-readable format. You …
Unlocking insights from data with OpenAI and LangChain – Exploring Data for Machine Learning-3 Read MoreThe key steps are importing the necessary LangChain modules, loading data into a DataFrame, instantiating an LLM, and creating the DataFrame agent by passing the required objects. The agent can …
Unlocking insights from data with OpenAI and LangChain – Exploring Data for Machine Learning-2 Read MoreArtificial intelligence is transforming how people analyze and interpret data. Exciting generative AI systems allow anyone to have natural conversations with their data, even if they have no coding or …
Unlocking insights from data with OpenAI and LangChain – Exploring Data for Machine Learning-1 Read MoreLet us walk through the Variables section in the report. Under the Variables section, we can select any variable in the dataset under the dropdown and see the statistical information …
Variables section – Exploring Data for Machine Learning Read MoreIn this section, let us explore the dataset and generate a profiling report with various statistics using the ydata-profiling library (https://docs.profiling.ydata.ai/4.5/).The ydata-profiling library is a Python library for easy EDA, …
Profiling data using the ydata-profiling library – Exploring Data for Machine Learning Read More