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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


  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    AI Materials

    Skills you'll gain: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of California, Davis

    AI for Knowledge Workers

    Skills you'll gain: Prompt Engineering, Generative AI, Anthropic Claude, Responsible AI, ChatGPT, LLM Application, Data Ethics, AI Enablement, Artificial Intelligence, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    185 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Houston

    The Bilingual Brain

    Skills you'll gain: Multilingualism, Language Competency, Language Learning, Learning Theory, Non-Verbal Communication, Neurology, Human Development, Psychology, Child Development, Science and Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    717 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free
    Free
    U

    Universidad de los Andes

    Derechos y salud en la era digital: protección e incidencia

    Skills you'll gain: digital literacy, Data Security, Computer Security Awareness Training, Social and Human Services, Law, Regulation, and Compliance, Digital Communications, Interactive Learning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Finance)

    Skills you'll gain: Organizational Change, Agentic Workflows, AI Enablement, Generative AI Agents, Workflow Management, Predictive Analytics, Cash Management, Responsible AI, Performance Tuning, Fraud detection, Accounting and Finance Software, Financial Reporting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    771 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    A

    Amazon Web Services

    AWS Cloud Technical Essentials

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Cloud Security, Cloud Computing Architecture, Serverless Computing, Cloud Storage, Databases, Virtual Networking, General Networking, Containerization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

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

  • AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Meaningful Predictive Modeling: University of California San Diego
  • Foundational Mathematics for AI: Johns Hopkins University
  • AI for Knowledge Workers: University of California, Davis
  • The Bilingual Brain: University of Houston
  • Excel Basics for Data Analysis: IBM
  • Derechos y salud en la era digital: protección e incidencia: Universidad de los Andes
  • Agentic AI Content for Practitioners (Teams: Finance): Coursera
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington

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Python Programming (47)
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R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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