Análisis exploratorio de datos con Python y Pandas

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Análisis exploratorio de datos con Python y Pandas

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Works with Pandas to create a Jupyter notebook for exploratory data analysis and statistical modeling

Original Description

En este proyecto guiado obtendrás experiencia práctica trabajando con la librería Pandas y creando tu propio cuaderno de Jupyter Lab. Los conocimientos básicos que obtengas te permitirán trabajar con cualquier base de datos para analizar la información. Al final de este proyecto serás capaz de crear tus propios cuadernos con análisis estadísticos de diferentes bases de datos. Nota: Este curso está dirigido a personas que buscan iniciarse en el mundo de la ciencia de datos o el machine learning.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

Related Reads

Building Models in Two Worlds: From Latent Constructs to Behavioral Signals

Learn how to transition from academic modeling to industry-focused predictive modeling by shifting from latent constructs to behavioral signals

Towards Data Science

Run GLM 5.2 in Just 25 GB RAM : Colibri

Run GLM 5.2 with limited RAM using Colibri, a solution for resource-constrained machines

Medium · Machine Learning

Professional Diploma in AI & Machine Learning for Beginners to Advanced

Learn how AI and ML are transforming industries and get started with a Professional Diploma in AI & Machine Learning

Medium · Machine Learning

Day 152 of Learning MERN Stack

Learn how to track progress and stay motivated in a software engineering track, specifically with the MERN stack, and apply these principles to your own learning journey

Dev.to · Ali Hamza

We just figured out how AI actually works (J-Space)