How to create useful features for Machine Learning
Feature engineering is the process of creating new features so that your Machine Learning model will more accurately predict the value of your target.continue reading.
Author: Kevin Markham
How to create useful features for Machine Learning
Feature engineering is the process of creating new features so that your Machine Learning model will more accurately predict the value of your target.continue reading.
How to update your scikit-learn code for 2018
In 2015, I created a 4-hour video series called Introduction to machine learning in Python with scikit-learn. In the years since, hundreds of thousands of students have watched these videos,...continue reading.
How to update your scikit-learn code for 2018
In 2015, I created a 4-hour video series called Introduction to machine learning in Python with scikit-learn. In the years since, hundreds of thousands of students have watched these videos,...continue reading.
Best practices with pandas (video series)
At the PyCon 2018 conference, I presented a tutorial called “Using pandas for Better (and Worse) Data Science”. Through a series of exercises, I demonstrated best practices with pandas to...continue reading.
Best practices with pandas (video series)
At the PyCon 2018 conference, I presented a tutorial called “Using pandas for Better (and Worse) Data Science”. Through a series of exercises, I demonstrated best practices with pandas to...continue reading.
9 new pandas updates that will save you time
Since launching my Python pandas video series in 2016, there have been 10 new releases of the pandas library, including hundreds of new features, bug fixes, and API changes. I...continue reading.
9 new pandas updates that will save you time
Since launching my Python pandas video series in 2016, there have been 10 new releases of the pandas library, including hundreds of new features, bug fixes, and API changes. I...continue reading.
Web scraping the President’s lies in 16 lines of Python
This an introductory tutorial on web scraping in Python. All that is required to follow along is a basic understanding of the Python programming language.continue reading.
Web scraping the President’s lies in 16 lines of Python
This an introductory tutorial on web scraping in Python. All that is required to follow along is a basic understanding of the Python programming language.continue reading.
How to launch your data science career (with Python)
Have you been thinking about a career in data science, but have no idea how to get started? Data School is here to help you find your way!continue reading.
How to launch your data science career (with Python)
Have you been thinking about a career in data science, but have no idea how to get started? Data School is here to help you find your way!continue reading.
Quick reference to Python in a single script (and notebook)
Below is the reference guide to Python that I wish had existed when I was learning the language. Here’s what I want in a reference guide: High-quality examples that show...continue reading.
Quick reference to Python in a single script (and notebook)
Below is the reference guide to Python that I wish had existed when I was learning the language. Here’s what I want in a reference guide: High-quality examples that show...continue reading.
Top 8 resources for learning data analysis with pandas
I recently launched a video series about “pandas”, a popular Python library for data analysis, manipulation, and visualization. But for those of you who want to learn pandas and prefer...continue reading.
Top 8 resources for learning data analysis with pandas
I recently launched a video series about “pandas”, a popular Python library for data analysis, manipulation, and visualization. But for those of you who want to learn pandas and prefer...continue reading.
Easier data analysis in Python with pandas (video series)
Learn how to use the pandas library for data analysis, manipulation, and visualization. Each video answers a student question using a real dataset!continue reading.
Easier data analysis in Python with pandas (video series)
Learn how to use the pandas library for data analysis, manipulation, and visualization. Each video answers a student question using a real dataset!continue reading.
Guide to an in-depth understanding of logistic regression
When faced with a new classification problem, machine learning practitioners have a dizzying array of algorithms from which to choose: Naive Bayes, decision trees, Random Forests, Support Vector Machines, and...continue reading.
Guide to an in-depth understanding of logistic regression
When faced with a new classification problem, machine learning practitioners have a dizzying array of algorithms from which to choose: Naive Bayes, decision trees, Random Forests, Support Vector Machines, and...continue reading.
