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  • Applied Machine Learning In Python

Results for "applied machine learning in python"


  • Status: Free Trial
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    V

    Vanderbilt University

    AI Agent Developer

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, LLM Application, Ideation, Verification And Validation, Data Presentation, Productivity, OpenAI, AI Personalization, Document Management, Responsible AI, Agentic systems, Tool Calling, Artificial Intelligence, Personalized Service, Large Language Modeling, Software Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Tesla Stock Price Prediction using Facebook Prophet

    Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Interactive Data Visualization, Equities, Machine Learning, Data Manipulation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    142 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Use AI Responsibly

    Skills you'll gain: Computer Security Awareness Training, Information Systems Security Assessment Framework (ISSAF), Data Security, Machine Learning, Generative AI, Analysis, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    337 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, LLM Application, Application Programming Interface (API), Data Manipulation, Data Processing, Jupyter, Database Development, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    45 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Algorithms, Bayesian Statistics, Network Architecture, Linear Algebra

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Plot (Graphics), Machine Learning, Python Programming, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    218 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • AI Agent Developer: Vanderbilt University
  • Tesla Stock Price Prediction using Facebook Prophet: Coursera
  • Use AI Responsibly: Google
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • MathWorks Computer Vision Engineer: MathWorks
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Natural Language Processing - Transformers with Hugging Face: Packt
  • Foundations of Neural Networks: Johns Hopkins University

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