Hands-on Machine Learning with Scikit-Learn

Gain insights into Scikit-Learn's datasets, feature engineering, linear/logistic regression, and unsupervised learning. Delve into k-means clustering and neural networks to enhance your machine learning expertise.

Intermediate

36 Lessons

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

64 Playgrounds

5 Challenges

This course includes

64 Playgrounds

5 Challenges

Course Overview

Scikit-Learn is a powerful library that provides a handful of supervised and unsupervised learning algorithms. If you’re serious about having a career in machine learning, then scikit-learn is a must know. In this course, you will start by learning the various built-in datasets that scikit-learn offers, such as iris and mnist. You will then learn about feature engineering and more specifically, feature selection, feature extraction, and dimension reduction. In the latter half of the course, you will dive ...Show More

Course Content

Preliminaries

Get familiar with Scikit-learn, its tools, practical use, and required prerequisites.

Introduction Prerequisites

Working with Datasets

Get started with loading datasets, generating synthetic data, and essential data preprocessing techniques.

Load built-in dataset Generate synthetic dataset Data Preprocessing

Feature Engineering

Go hands-on with feature selection, extraction, missing value handling, PCA, and pipelines.

Feature Selection Feature Extraction Missing Value PCA(Principal Component Analysis)Pipeline

General Concepts

Break down complex ideas of metrics selection and parameter searching for machine learning.

Metrics Parameter Searching Quiz

Linear Regression

Solve problems in building and evaluating linear regression models using Scikit-Learn.

Linear Regression Challenge - Auto Insurance Prediction Challenge Solution Review

Logistic Regression

3 Lessons

Tackle logistic regression, preprocess data, and evaluate binary classification models.

Support Vector Machine

3 Lessons

Practice using SVMs for classifying both linear and non-linear data effectively.

Tree Model and Ensemble Method

5 Lessons

Step through decision trees, gradient boosting, parameter tuning, and random forest models using Scikit-Learn.

Unsupervised Learning

2 Lessons

Look at key unsupervised learning techniques: K-means clustering and t-SNE for data visualization.

10.

Deep Learning

3 Lessons

Go hands-on with building and fine-tuning neural networks using Scikit-Learn's MLPClassifier.

11.

Others

3 Lessons

Apply your skills to Naive Bayes classifiers and K-Nearest Neighbors for predictive modeling.

12.

What's Next

1 Lesson

Deepen your knowledge of next steps in AI and recommended learning resources.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!