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Scikit-Learn Courses

Scikit-learn courses can help you learn data preprocessing, model selection, classification techniques, and regression analysis. You can build skills in evaluating model performance, feature engineering, and implementing machine learning pipelines. Many courses introduce tools like Jupyter Notebooks and Python libraries, that support applying these skills in practical projects.


Popular Scikit-Learn Courses and Certifications


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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Harnessing Open Source LLMs and ChatGPT with Minimal Code

    Skills you'll gain: ChatGPT, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Python Programming, Software Installation, Open Source Technology, Development Environment, Real Time Data, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Statistical Inference, Data Visualization, Descriptive Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Methods, Matplotlib, Statistics, Data Analysis, Box Plots, Probability & Statistics, Exploratory Data Analysis, Data Manipulation, Data Management, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Import/Export, Classification And Regression Tree (CART), Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    From Raw to Ready: Data Preparation in Python

    Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Universidad Austral

    NLP Modelos y Algoritmos

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Text Mining, Unsupervised Learning, Algorithms, Supervised Learning

    3.7
    Rating, 3.7 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Mixed · 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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In summary, here are 10 of our most popular Scikit-learn courses

  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
  • Understanding and Visualizing Data with Python: University of Michigan
  • Statistical Learning: Illinois Tech
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • From Raw to Ready: Data Preparation in Python: Coursera
  • Clustering and Classification with Machine Learning in R: Packt
  • NLP Modelos y Algoritmos: Universidad Austral

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