Chat with your business data – Conversational Analytics comes to Gemini in Looker

Generative AI has invigorated the promise of self-service analytics, which, when combined with enterprise-scale security and governance, and backed by trusted metrics, can prevent data chaos and empower you to quickly understand and act on your data insights. Looker is playing a key role in this data revolution, evolving business intelligence (BI) for the AI …

Automating Data Cleaning Processes with Pandas

Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to use as inputs to an AI or machine learning model, and …

Filling the Gaps: A Comparative Guide to Imputation Techniques in Machine Learning

In our previous exploration of penalized regression models such as Lasso, Ridge, and ElasticNet, we demonstrated how effectively these models manage multicollinearity, allowing us to utilize a broader array of features to enhance model performance. Building on this foundation, we now address another crucial aspect of data preprocessing—handling missing values. Missing data can significantly compromise …