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    Scikit-learn Courses Online

    Study Scikit-learn for machine learning in Python. Learn to build and evaluate models using this popular library.

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    Explore the Scikit-learn Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      89 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Principal Component Analysis with NumPy

      Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      179 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      126 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Predictive Analytics

      Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Supervised Learning, Python Programming, Data Quality, Cloud Platforms, Performance Metric, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Analyze Box Office Data with Seaborn and Python

      Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      180 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      75 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

      Advanced · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - Português

      Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Scikit Learn (Machine Learning Library), Containerization

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - 한국어

      Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Kubernetes, Metadata Management, Machine Learning Methods, Containerization, Data Processing, Data Validation

      Advanced · Course · 1 - 3 Months

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

    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Principal Component Analysis with NumPy: Coursera Project Network
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • AI Workflow: AI in Production: IBM
    • Predictive Analytics: Dartmouth College
    • Analyze Box Office Data with Seaborn and Python: Coursera Project Network
    • AI Workflow: Enterprise Model Deployment: IBM
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • More Applied Data Science with Python: University of Michigan

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