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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


  • S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    ★ 4.4 (93) · Mixed · Course · 1 - 4 Weeks

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 2

    Skills you'll gain: Matplotlib, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Manipulation

    ★ 4.6 (26) · Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Analytics, Regression Analysis, Machine Learning Algorithms, Advanced Analytics, Applied Machine Learning, Scikit Learn (Machine Learning Library), Business Analysis, Unsupervised Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning

    ★ 4.6 (41) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Model Training, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data Manipulation, Marketing Analytics, Python Programming, Embeddings, Classification Algorithms, Marketing, Artificial Neural Networks, Performance Metric

    ★ 3.1 (14) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Python Data Analysis

    Skills you'll gain: NumPy, Time Series Analysis and Forecasting, Scikit Learn (Machine Learning Library), Predictive Modeling, Pandas (Python Package), Matplotlib, Plot (Graphics), Data Analysis, Predictive Analytics, Data Visualization, Database Management, Applied Machine Learning, Databases, Text Mining, Data Manipulation, Data Science, Python Programming, Statistical Analysis, Data Wrangling, Big Data

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    User Segmentation, Experimentation, and Retention Analytics

    Skills you'll gain: Customer Retention, Customer Analysis, Customer Insights, Driving engagement, Sample Size Determination, Analytics, User Research, Product Management, Trend Analysis, Statistical Inference, Data-Driven Decision-Making, Unsupervised Learning, Analysis, Statistical Hypothesis Testing, Statistical Analysis, Performance Measurement, Scikit Learn (Machine Learning Library), Strategic Decision-Making, Algorithms

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Risk Modeling, Decision Tree Learning, Credit Risk, Model Training, Predictive Analytics, Random Forest Algorithm, Feature Engineering, Logistic Regression, Statistical Machine Learning, Data-Driven Decision-Making, Model Optimization, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods

    Mixed · Course · 1 - 4 Weeks

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

  • Machine Learning Basics: Sungkyunkwan University
  • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Python Data Analysis: Packt
  • Build Predictive & Supervised Models: Coursera
  • User Segmentation, Experimentation, and Retention Analytics: Coursera
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • Optimize ML Models: Hyperparameter Tuning : Coursera
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA

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