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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.


Popular Supervised Learning Courses and Certifications


  • Status: New
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    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Model Evaluation, Predictive Modeling, Regression Analysis, Machine Learning, Statistical Modeling, Logistic Regression, Probability & Statistics, Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
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    32K reviews

    Beginner · Course · 1 - 4 Weeks

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    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Machine Learning with Python

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

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning

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

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Regression Analysis, Unsupervised Learning, Classification Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Logistic Regression, Model Evaluation, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

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    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Next level skills. New Year savings.

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  • Status: Free Trial
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    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Model Evaluation, PyTorch (Machine Learning Library), Unsupervised Learning, Data Preprocessing, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Data Cleansing, Machine Learning, Data Mining, Deep Learning, Supervised Learning, Artificial Neural Networks

    3.5
    Rating, 3.5 out of 5 stars
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    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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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, Statistical Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Data Manipulation, Feature Engineering, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
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    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

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In summary, here are 10 of our most popular supervised learning courses

  • Machine Learning Fundamentals: Dartmouth College
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Machine Learning: DeepLearning.AI
  • Machine Learning with Python: IBM
  • Mathematics for Machine Learning: Imperial College London
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Applied Machine Learning: Johns Hopkins University
  • Supervised Machine Learning: Classification: IBM
  • Applied Unsupervised Learning in Python: University of Michigan

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