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  • Machine Learning Python

Results for "machine learning python"


  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Fractal Data Science

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Applied Machine Learning, Data Modeling, Machine Learning, Problem Solving, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    496 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    799 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    975 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Cleansing, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    796 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, Decision Tree Learning, Predictive Modeling, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    101K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Data Visualization with Plotly Express

    Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    269 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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

  • Fractal Data Science: Fractal Analytics
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Foundations and Core Concepts of PyTorch: Packt
  • Generative AI Engineering with LLMs: IBM
  • AI Product Management: Duke University
  • AI for Medical Prognosis : DeepLearning.AI
  • AI Workflow: AI in Production: IBM
  • Introduction to Data Science: IBM
  • Data Visualization with Plotly Express: Coursera

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

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