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Scikit Learn Courses

Scikit Learn courses can help you learn data preprocessing, model selection, and evaluation techniques, along with supervised and unsupervised learning methods. You can build skills in feature engineering, hyperparameter tuning, and implementing algorithms like decision trees and support vector machines. Many courses also introduce tools such as Jupyter Notebooks and Python libraries, that support applying machine learning concepts and visualizing data to derive actionable insights.


Popular Scikit Learn Courses and Certifications


  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Data Presentation, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • B

    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Python Programming

    ★ 4.7 (99K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    AI & Python Development Megaclass

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning

    Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Python - Complete Python, Django, Data Science and ML Guide

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, File I/O, Application Programming Interface (API), Programming Principles, Databases, Development Environment, Web Applications, Code Reusability, Data Management, Functional Design, Memory Management, Data Validation

    Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    ★ 3.9 (25) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Cloud Computing, Git (Version Control System), Application Programming Interface (API), Other Programming Languages, Development Environment, Query Languages, Python Programming, Machine Learning, Open Source Technology

    ★ 4.5 (30K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
1234…834

In summary, here are 10 of our most popular scikit learn courses

  • Applied Machine Learning with Python: Edureka
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Automate ML Pipelines for Peak Performance: Coursera
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • IBM Generative AI Engineering: IBM
  • AI & Python Development Megaclass: Packt
  • Python - Complete Python, Django, Data Science and ML Guide: Packt
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Tools for Data Science: IBM

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