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  • Python Machine Learning

Python Machine Learning Courses

Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.


Popular Python Machine Learning Courses and Certifications


  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Machine Learning, Human Resources, Employee Retention, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Geometry, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

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

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    Beginner · Course · 1 - 3 Months

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

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Data Validation, System Monitoring, Continuous Monitoring, Verification And Validation, Predictive Modeling, Performance Metric, A/B Testing, Statistical Methods, Anomaly Detection, Failure Analysis, Debugging, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

1…262728…649

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

  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Employee Attrition Prediction Using Machine Learning: Coursera
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Interpretable machine learning applications: Part 5: Coursera
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Interpretable machine learning applications: Part 3: Coursera
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • No-Code Data Science and Machine Learning: Edureka
  • Building, Optimizing, and Validating Machine Learning Models: Coursera

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Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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