scikit-learn Courses and Certifications

Building Image Processing Applications Using scikit-image

23 ratings at Pluralsight

In this course, you'll explore the scikit-image Python library which allows you to apply sophisticated image processing techniques to images and to quickly extract important insights or pre-process images for input to machine learning models.

• Pluralsight
• 1 hour 50 minutes
• On-Demand
• Free Trial Available

Reducing Dimensions in Data with scikit-learn

19 ratings at Pluralsight

Learn powerful dimensionality reduction techniques in scikit-learn to optimize ML models, reduce overfitting, speed up training, and improve visualization. Covers feature selection, PCA, LDA, and manifold learning methods.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Scaling scikit-learn Solutions

15 ratings at Pluralsight

Improve prediction latency and throughput in scikit-learn models using feature representation, incremental learning, out-of-core learning, and multicore parallelism techniques.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Model Evaluation and Selection Using scikit-learn

15 ratings at Pluralsight

Review the techniques and metrics used to evaluate how well your machine learning model performs. You will also learn methods to select the best machine learning model from a set of models that you've built.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Employing Ensemble Methods with scikit-learn

15 ratings at Pluralsight

This course covers the theoretical and practical aspects of building ensemble learning solutions in scikit-learn; from random forests built using bagging and pasting to adaptive and gradient boosting and model stacking and hyperparameter tuning.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Building Neural Networks with scikit-learn

10 ratings at Pluralsight

This course covers all the important aspects of support currently available in scikit-learn for the construction and training of neural networks, including the perceptron, MLPClassifier, and MLPRegressor, as well as Restricted Boltzmann Machines.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Preparing Data for Modeling with scikit-learn

13 ratings at Pluralsight

This course covers important steps in the pre-processing of data, including standardization, normalization, novelty and outlier detection, pre-processing image and text data, as well as explicit kernel approximations such as the RBF and Nystroem methods.

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Great Learning

Scikit-Learn

Learn to implement machine learning solutions using Scikit-learn, covering installation, algorithms, applications, advantages, and hands-on Python demos for data-driven decision-making.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Open Data Science

Behind the Scenes of Scikit-Learn with Core Contributor Thomas Fan at ODSC West WarmUp Event

Explore Scikit-Learn's evolution, technical aspects, and future with core contributor Thomas Fan. Gain insights into open-source collaboration, industry applications, and machine learning advancements.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Open Data Science

Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning

Explore machine learning with scikit-learn: its popularity, capabilities, and future. Learn about easy predictive analysis, development process, and exciting new features in this data science ecosystem.

• YouTube
• 52 minutes
• On-Demand
• Free Video

DigitalSreeni

Introduction to Image Processing Using Scikit-Image in Python

Learn essential image processing techniques using scikit-image in Python, including resizing, edge detection, and segmentation for microscopy-based assays like wound healing.

• YouTube
• 37 minutes
• On-Demand
• Free Video

The AI University

Read CSV Files, Extract Dataset Scikit Learn & Simulate Data Using Python - Machine Learning

Learn to extract data from CSV files and databases, use scikit-learn for dataset manipulation, and simulate various types of machine learning data in Python.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Data School

Machine Learning in Python With Scikit-Learn

Comprehensive guide to scikit-learn for machine learning in Python, covering model training, selection, evaluation, and text processing. Ideal for beginners and intermediate users.

• YouTube
• 7 hours
• On-Demand
• Free Video

Scikit-learn Crash Course - Machine Learning Library for Python

Comprehensive introduction to scikit-learn, covering preprocessing, metrics, meta-estimators, and human-learn. Ideal for Python developers looking to enhance their machine learning skills.

• freeCodeCamp
• 2-3 hours
• On-Demand
• Free Video

Scikit-Learn Course - Machine Learning in Python Tutorial

Scikit-learn is a free software machine learning library for the Python programming language. Learn about machine learning using scikit-learn in this full course.

• freeCodeCamp
• 2-3 hours
• On-Demand
• Free Video