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  • Polynomial Svm For Classification Tasks


Results for "polynomial+svm+for+classification+tasks"


  • Status: New
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    Coursera

    ML Model Training & Validation

    Skills you'll gain: Deep Learning, Transfer Learning, Systems Design, Model Evaluation, Feature Engineering, Predictive Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Supervised Learning, Data Preprocessing, Data Pipelines, Python Programming, Scikit Learn (Machine Learning Library), Software Engineering, Debugging, Data Quality, Data Validation, Performance Metric, Git (Version Control System), Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

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    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • The Google AI Certificate that powers your career

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    Corporate Finance Institute

    Classification - Fundamentals & Practical Applications

    Skills you'll gain: Classification Algorithms, Model Evaluation, Machine Learning Algorithms, Logistic Regression, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Data Modeling, Analytics, Analysis, Data Analysis, Business Metrics, Feature Engineering, Advanced Analytics, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Data Visualization, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…9

In summary, here are 10 of our most popular polynomial+svm+for+classification+tasks courses

  • ML Model Training & Validation: Coursera
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Mathematics for Machine Learning: Imperial College London
  • Supervised Machine Learning: Classification: IBM
  • Deep Learning for Computer Vision: MathWorks
  • Build Robust Java ML Models with Entropy: Coursera
  • Classification - Fundamentals & Practical Applications: Corporate Finance Institute
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Machine Learning with Python: IBM

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