This book focuses on a speci fic sub- field of machine learning called predictive modeling. This is the field of machine learning that is the most useful in industry and the type of machine learning that the scikit-learn library in Python excels at facilitating. Unlike statistics, where models are used to understand data, predictive modeling is laser focused on developing models that make the most accurate predictions at the expense of explaining why predictions are made. Unlike the broader field of machine learning that could feasibly be used with data in any format, predictive modeling is primarily focused on tabular data (e.g. tables of numbers like in a spreadsheet).
Related posts:
Python Program to Find the Size (Resolution) of a Image
Python Dictionary fromkeys()
Python Function Arguments
Python Dictionary setdefault()
Python Program to Sort a Dictionary by Value
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python id()
Python Tuple
Python Generators
Python Program to Calculate the Area of a Triangle
Python Program to Split a List Into Evenly Sized Chunks
Python Program to Catch Multiple Exceptions in One Line
Python input()
Python Program to Convert Two Lists Into a Dictionary
Python List remove()
Python Program to Make a Flattened List from Nested List
Python Set remove()
Java Deep Learning Essentials - Yusuke Sugomori
Python List reverse()
Python Program to Check Armstrong Number
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python List sort()
Python Set symmetric_difference()
Python Deep Learning Cookbook - Indra den Bakker
Python Machine Learning - Sebastian Raschka
Python Variables, Constants and Literals
Python Dictionary clear()
Python sum()
Python any()
Neural Networks - A visual introduction for beginners - Michael Taylor
Python Program to Check If Two Strings are Anagram
Python Directory and Files Management