scikit-learn Courses and Certifications

Krish Naik

Accelerate Scikit-learn Machine Learning Models 50x with NVIDIA cuML

Discover how to accelerate scikit-learn ML models up to 50x using NVIDIA cuML, enabling GPU-powered performance without changing your existing code.

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

1littlecoder

Scikit-Learn Pipeline and Cross-Validation - Day 13 of 30 Days of ML

Learn advanced machine learning techniques with Scikit-Learn, focusing on pipelines for organized code and cross-validation for improved model performance evaluation. Part of a 30-day ML challenge.

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

EuroPython Conference

Extending Scikit-Learn with Your Own Regressor

Learn to extend Scikit-Learn by implementing a robust Theil-Sen estimator, exploring its advantages over ordinary least squares and understanding Scikit-Learn's design and contribution process.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Scikit-learn to "Learn Them All"

Overview of Scikit-learn for machine learning in Python, covering supervised and unsupervised techniques, with code examples and insights on implementation. Includes comparison to other ML libraries and scaling to big data.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Scaling scikit-learn - Introducing New Sets of Computational Routines

Discover recent performance improvements in scikit-learn, exploring computational patterns, new routine implementations, and future hardware-specialized developments for enhanced machine learning efficiency.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Diffprivlib - Privacy-Preserving Machine Learning with Scikit-Learn

Explore differential privacy in machine learning using Diffprivlib, a tool for training accurate models with robust privacy guarantees, seamlessly integrating with scikit-learn and numpy.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

Chemometrics & Machine Learning in Copenhagen

Chemotools - Integrating Chemometrics and Scikit-Learn for Spectral Data Analysis

Explore chemotools, a Python library unifying chemometrics and machine learning for spectral data analysis, streamlining model development and implementation in the scientific community.

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

Codeynamics

Multiple Linear Regression with Scikit-learn in Python - Supervised Machine Learning

Master multiple linear regression techniques in Python using scikit-learn, from data preprocessing to model evaluation and prediction implementation.

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

Augmented Startups

Building a Machine Learning Model for Drought Analysis Using Python and Scikit-learn

Master data preprocessing, exploratory analysis, and feature selection techniques to build effective machine learning models for drought prediction using Python, Scikit-learn, and Google Colab.

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

Advanced Machine Learning Models for Prediction

3 reviews

Master advanced machine learning algorithms including SVM, decision trees, random forests, and neural networks for predictive modeling using Scikit-Learn, with focus on practical implementation and optimization.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Microcredential

Predictive Modeling with Python

19 ratings at CodeSignal

Master predictive modeling in Python through hands-on regression analysis, data preprocessing, and advanced machine learning techniques using the California Housing Dataset.

• CodeSignal
• 13 hours
• On-Demand
• Free Certificate
• 5 courses

Microcredential

Mastering Dimensionality Reduction with Python

8 ratings at CodeSignal

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

• CodeSignal
• 15 hours
• On-Demand
• Free Certificate
• 5 courses

Introduction to Neural Networks with TensorFlow

Master neural networks and deep learning fundamentals using TensorFlow, from data preprocessing to model training. Build and optimize architectures, implement activation functions, and enhance model performance with the Digits dataset.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Training Your First Machine Learning Model from Scratch

Master linear regression fundamentals by building a model from scratch using scikit-learn, covering data preparation, training, evaluation, and real-world applications with California housing data.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Introduction to Predictive Modeling

Gain insights into predictive modeling fundamentals using real estate data, linear regression techniques, and model evaluation methods to make data-driven decisions.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate