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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


  • Status: New
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    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    821 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.2
    Rating, 3.2 out of 5 stars
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    82 reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Selenium Python Automation Testing and Frameworks

    Skills you'll gain: Version Control, Test Script Development, Continuous Integration, Test Execution Engine, Test Tools, Automation, Scripting, Web Scraping, Hypertext Markup Language (HTML), Software Design Patterns, Development Environment, Integrated Development Environments, Debugging, Command-Line Interface, File I/O

    4.6
    Rating, 4.6 out of 5 stars
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    23 reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

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

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Programming Principles, Databases, Game Design, Development Environment, Data Science, Web Applications, Animation and Game Design, Application Frameworks, Scripting, Scripting Languages, Software Design Patterns, Functional Design, Data Validation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    University of Colorado Boulder

    Active Learning in STEM with PhET Interactive Simulations

    Skills you'll gain: Instructional Strategies, Teaching, Prompt Engineering, Education Software and Technology, Mathematics Education, Pedagogy, Simulations, Digital pedagogy, Simulation and Simulation Software, Web Content Accessibility Guidelines, User Feedback, Experimentation, Research, Peer Review, Design Strategies, Interactive Design, Design, Display Devices, Physics, Chemistry

    4.9
    Rating, 4.9 out of 5 stars
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    146 reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Engineer & Explain AI Model Decisions

    Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging

    Intermediate · Course · 1 - 4 Weeks

Searches related to scikit learn

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scikit-learn to solve regression machine learning problems
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1234…834

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

  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Databricks Machine Learning Fundamentals: Coursera
  • AI for Scientific Research: LearnQuest
  • Selenium Python Automation Testing and Frameworks: Packt
  • Python - Complete Python, Django, Data Science and ML Guide: Packt
  • Active Learning in STEM with PhET Interactive Simulations: University of Colorado Boulder
  • Learn to Choose the Right ML Model: Coursera

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