What you’ll learn
- Build an ML-powered smart calculator in a web application (end-to-end)
- Don’t leave your ML model in the notebook; put it to work in a web application
- Add a complete project to your portfolio
- Build sklearn pipelines to dynamically populate the ML input form
Jesus’ curriculum showcases a diverse range of experiences and expertise.
His more than 8,000 training hours come from various industries, such as energy, finance, telecommunications, and healthcare. Specifically, some of his notable clients work in Santander, PEPSI, Vodafone, University of Oxford, Hospital Ramón y Cajal, Bankinter, BBVA, Banco de España, IGNIS, Cogen, Telefonica, Galp, and REE.
He has trained on data and programming skills more 800 clients 1:1. For whom he developed the analysis of their data projects (more than 200):
– Machine Learning models to predict Bladder Cancer and Alzheimer’s Disease
– Simulation of investment strategies in the energy industry
– Trading Algorithms to invest in the Stock Market
– Causal statistics to analyze Psychological Factors
– Dashboards for Final Thesis Projects using Shiny, Dash, Streamlit, Tableau, and Power BI
Based on his vast and intense experience, he has created an educational program that solves most of the problems students face in learning programming for data.
His students consider their methodology one of the best and assure that you will always leave his sessions with practical skills acquired and ready to be applied to your problems.