AI News, scikit-learn video #2: Setting up Python for machine learning

scikit-learn video #2: Setting up Python for machine learning

Last Wednesday, I introduced my new weekly video series, 'Introduction to machine learning with scikit-learn'.

Over the next few months, you'll learn how to perform effective machine learning using Python's scikit-learn library in order to advance your data science skills.

In next week's video, we'll load a famous dataset into scikit-learn, discuss how machine learning can be used with this data, and cover scikit-learn's four key requirements for input data.

scikit-learn video #1: Intro to machine learning with scikit-learn

As a data science instructor and the founder of Data School, I spend a lot of my time figuring out how to distill complex topics like 'machine learning' into small, hands-on lessons that aspiring data scientists can use to advance their data science skills.

As a practitioner of machine learning, there's a lot to like about scikit-learn: It provides a robust set of machine learning models with a consistent interface, all of the functionality is thoughtfully designed and organized, and the documentation is thorough and well-written.

However, I personally believe that getting started with machine learning in scikit-learn is more difficult than in a language such R, as I explain here: In R, getting started with your first model is easy: read your data into a data frame, use a built-in model (such as linear regression) along with R's easy-to-read formula language, and then review the model's summary output.

My primary goal with this video series, 'Introduction to machine learning with scikit-learn', is to help motivated individuals to gain a thorough grasp of both machine learning fundamentals and the scikit-learn workflow.

(The series does presume basic familiarity with Python, though next week I'll suggest some resources for learning Python if you're new to the language.) For those who successfully master the basics (or are already intermediate-level scikit-learn users), my secondary goal is to dive into more advanced functionality later in the series.

Introduction to machine learning in Python with scikit-learn (video series)

In the data science course that I teach for General Assembly, we spend a lot of time using scikit-learn, Python's library for machine learning.

I love teaching scikit-learn, but it has a steep learning curve, and my feeling is that there are not many scikit-learn resources that are targeted towards machine learning beginners.

Thus I decided to create a series of scikit-learn video tutorials, which I launched in April in partnership with Kaggle, the leading online platform for competitive data science!

My goal with this series is to help motivated individuals to gain a thorough grasp of both machine learning fundamentals and the scikit-learn workflow.

Scikit Learn Machine Learning SVM Tutorial with Python p. 2 - Example

In this machine learning tutorial, we cover a very basic, yet powerful example of machine learning for image recognition. The point of this video is to get you familiar with machine learning...

Machine Learning Data preprocessing Feature Scaling In scikitLearn-1 Part-15

This video will explain how to do feature scaling with scikit learn machine learning libray in python. MinMax Scalar: X_std = (X - X.min(axis=0)) / (X.max(axis=0) - X.min(axis=0)) X_scaled...

Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20

In this tutorial, we introduce the theory of the Support Vector Machine (SVM), which is a classification learning algorithm for machine learning. We also show how to apply the SVM using Scikit-Lear...

Classification using Pandas and Scikit-Learn

Skipper Seabold This will be a tutorial-style talk demonstrating how to use pandas and scikit-learn to do classificati..

Machine Learning with Scikit-Learn - The Cancer Dataset - 11 - Decision Trees 1

In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython...

Training a machine learning model with scikit-learn

Now that we're familiar with the famous iris dataset, let's actually use a classification model in scikit-learn to predict the species of an iris! We'll learn how the K-nearest neighbors (KNN)...

Machine Learning with Scikit-Learn - The Cancer Dataset - 4 - Process Outline

In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython...

Data science in Python: pandas, seaborn, scikit-learn

In this video, we'll cover the data science pipeline from data ingestion (with pandas) to data visualization (with seaborn) to machine learning (with scikit-learn). We'll learn how to train...

Logistic Regression Machine Learning Method Using Scikit Learn and Pandas Python - Tutorial 31

In this Python for Data Science Tutorial, You will learn about how to do Logistic regression, a Machine learning method, using Scikit learn and Pandas scipy in python using Jupyter notebook....