Discover how Streamlit’s interactive visualizations, and real-time feedback can accelerate your ML development and transform your business results. Streamlit is a powerful open-source framework that allows developers to create interactive and data-driven web applications for Machine Learning (ML) and data science projects. It is a Python-based web application framework that…

Low-code ML modeling and deployment for all Are you tired of spending hours on data preprocessing, model training, and interpretation? Look no further than PyCaret! PyCaret is a low-code machine learning library in Python that automates the end-to-end machine learning process. I’ll show you how to use PyCaret with the…

Customer stories told from a Consultant Once upon a time, there was a rapidly growing technology company let’s just call it “TechCo”. TechCo’s business was doing well, and the company was expanding its offerings to meet customer demand. However, as the company grew, so did its expenses. TechCo’s leadership team…

Build a quick and easy sentiment analysis evaluation Sentiment analysis is the process of using natural language processing (NLP) techniques to determine the sentiment or emotional tone of a piece of text. TextBlob is a popular Python library that makes it easy to perform sentiment analysis on text data. …

5 steps to establish a FinOps practice FinOps, short for Financial Operations, is an emerging practice that combines financial management and cloud operations to enable organizations to optimize their cloud spending. Cloud computing has revolutionized the way businesses operate, providing scalability, reliability, and agility. However, the cost of cloud computing…

The history and up to the current state Over the past decade, cloud computing has transformed the IT landscape, enabling businesses to store, process, and analyze vast amounts of data with unprecedented efficiency and agility. The cloud computing market has become a fiercely contested battleground, with major players such as…

Using the magic to become a pro on Juypter. Jupyter notebooks and are the best tools for data science, machine learning, and scientific computing. For me they are the best way to experiement on code. In my initial journey I didn’t know about all the tricks to using them and…

Learning to transform your data in a pipeline Apache Beam is a unified programming model for creating large-scale, parallel data-processing pipelines. It provides a high-level abstraction for expressing data-processing pipelines as a series of steps, allowing users to express complex data-processing pipelines in a concise and declarative way. Apache Beam…

Creating a diversity of thought in order to innovate The Idea Storm method is a powerful tool for generating and refining innovative ideas. It involves bringing together a diverse group of people, encouraging them to come up with as many ideas as possible in a short period of time, and…