Python For Data Science And Machine Learning Essential Training Part

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

Learn Web Scraping with Beautiful Soup and requests-html; harness APIs whenever available; automate data collection!

Everything you need to know about AI Engineering - Hands-on from Algorithms, Programming to Real Projects

Learn Natural Language Processing Concepts, complete process, application and coding for any data science enthusiast

See the full picture: Learn how to combine the three most important tools in data science: Python, SQL, and Tableau

See the full picture: Learn how to combine the three most important tools in data science: Python, SQL, and Tableau

V-Support vector machine, slack variables, Support Vector Regression (SVR), Kernel Trick

Machine Learning | Artificial Intelligence Engineering: From Fundamentals to Deployment

Master the MLOps Maze: Unlock the Secrets with the Right Tools!