Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Python is a popular scripting language that is commonly used for a myriad of applications including machine learning, scientific computing, scripting, web applications, and data processing. Course ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning ... web or watch an introduction like “Python ...

This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, but the process is vital for guiding your real-world ...

Introduction Python has, for many years been the de facto language when it comes to machine learning in general because of ...

Davide Del Vento, NCAR Computational & Information Services Laboratory "An Introduction to Python Programming for Scientists and Engineers introduces programming in Python using evidence-based ...

Microsoft’s Introduction to Python is a short ... including data structures, machine learning, functional programming, object-oriented programming, parallel programming, concurrency and text ...