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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


  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning

    Mixed · Course · 1 - 4 Weeks

  • Y

    Yonsei University

    Hands-on Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Data Preprocessing, Data Processing, Natural Language Processing, Classification Algorithms, Analytics, Java, Unsupervised Learning, Feature Engineering, Machine Learning Methods, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Data Preprocessing, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, Model Training, Decision Tree Learning, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    Universidad Austral

    Introducción al procesamiento de lenguaje natural

    Skills you'll gain: Natural Language Processing, Data Processing, Data Preprocessing, Text Mining, AI Orchestration, Pandas (Python Package), Analysis, AI Workflows, Big Data, Process Modeling, Unstructured Data, File Management, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Artificial Intelligence Using Python for Beginners

    Skills you'll gain: AI Workflows, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • U

    Università di Napoli Federico II

    Python: Istruzioni per l’uso

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting Languages, Scripting, Programming Principles, Data Manipulation, Data Management, Database Management, Package and Software Management, File Management, File I/O, Databases

    4.1
    Rating, 4.1 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment

    Beginner · Course · 1 - 4 Weeks

1…678…834

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

  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Machine Learning with Python & Statistics: EDUCBA
  • Hands-on Text Mining and Analytics: Yonsei University
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Introducción al procesamiento de lenguaje natural: Universidad Austral
  • Apply Artificial Intelligence Using Python for Beginners: EDUCBA
  • Machine Learning with Python: Case Studies: EDUCBA

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