Python for Data Science Essential Training Part 2
autor: Pierson, Lillian; P.E., P.E.
año: 2019
disponible
- contenido:
- Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts-for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: building machine learning models that can generate predictions and recommendations and automate routine tasks. Along the way, she shows how to perform linear and logistic regression, use K-means and hierarchal clustering, identify relationships between variables, and use other machine learning tools such as neural networks and Bayesian models. You should walk away from this training with hands-on coding experience that you can quickly apply to your own data science projects.
Información de título
título: Python for Data Science Essential Training Part 2
autor: Pierson, Lillian; P.E., P.E.
editorial: LinkedIn
categoría: eLearning, Software & Programmieren, IT
plazo del préstamo: 180 dias