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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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    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
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    817 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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    13 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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    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Jupyter & Python: Visualize, Optimize & Accelerate

    Skills you'll gain: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Javascript, Debugging

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with Python: Build & Optimize

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

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Health Informatics, Applied Machine Learning, Machine Learning, Data Processing, Predictive Modeling, Scikit Learn (Machine Learning Library), NumPy, Predictive Analytics, Analytics, Supervised Learning, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

Searches related to scikit learn

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1234…834

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

  • Applied Unsupervised Learning in Python: University of Michigan
  • Python: Logistic Regression & Supervised ML: 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
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Jupyter & Python: Visualize, Optimize & Accelerate: EDUCBA
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Data Processing and Exploration with NumPy & Pandas: Packt

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