Python Machine Learning (Part 3)
In Part 3 of the Python Machine Learning guided lab from Next.Tech, you will build your knowledge by exploring popular applications of machine learning and learning how to deploy dynamic web application models. More specifically, we will cover regression analysis, natural language processing, sentiment anlysis, and Flask.
Unlock modern machine learning techniques with Python by using the latest cutting-edge open source Python libraries.
This is Part 3 of the Python Machine Learning series. In this course, we explore some exciting applications of machine learning, such natural language processing, regression analysis, and clustering analysis. We then delve into how to deploy machine learning models to web applications that can learn from data in real time!
Objectives
Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis Learn how to use Flask to embed a machine learning application to a public web server
Prerequisites
Basic Python programming and familiarity with the NumPy library
Understanding of basic linear algebra concepts
Completion of Python Machine Learning Part 1 and Part 2 highly recommended
Complete this entire course to earn a Python Machine Learning (Part 3) Certificate of Completion
