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  • Kernel Method

Results for "kernel method"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Ethical Hacking with Kali Linux: Analyze & Apply

    Skills you'll gain: Penetration Testing, Exploitation techniques, Security Testing, Vulnerability Assessments, Wireless Networks, Network Security, Linux Commands, Microsoft Windows, Cryptography, Operating Systems

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Using Linux Tools and Libraries - 7

    Skills you'll gain: Embedded Software, C (Programming Language), Linux, Embedded Systems, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Application Development, File Systems, Computer Programming, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    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
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    314 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Customer Segmentation with K-Means: Model & Visualize

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Debugging: A Systematic Approach

    Skills you'll gain: Debugging, Data-oriented programming, Python Programming, Maintainability, Data Manipulation, Data Analysis, Technical Support

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Machine Learning Methods, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular kernel method courses

  • Ethical Hacking with Kali Linux: Analyze & Apply: EDUCBA
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • C Programming: Using Linux Tools and Libraries - 7: Dartmouth College
  • Principal Component Analysis with NumPy: Coursera
  • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Data Analysis Using Pyspark: Coursera
  • Customer Segmentation with K-Means: Model & Visualize: EDUCBA
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA

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