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Results for "python libraries"


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Embeddings, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    795 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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

    Coursera

    Measure Vector Similarity

    Skills you'll gain: Data-Driven Decision-Making, Vector Databases, NumPy, Data Analysis, Model Evaluation, Machine Learning, Machine Learning Algorithms, Analysis, Linear Algebra, Python Programming, Classification Algorithms, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

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

    Edureka

    Prompt Engineering for LLMs

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, Generative AI Agents, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Python Programming, Pandas (Python Package), Scalability, Application Development, Safety and Security

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    C

    Coursera

    Product Analytics Unlocked: Metrics to Meaningful Insight

    Skills you'll gain: Data Storytelling, Dashboard, Data Pipelines, Web Analytics, Strategic Prioritization, Customer Retention, Process Analysis, Customer Analysis, Product Strategy, SQL, Data Analysis, Business Intelligence, Data Warehousing, Pandas (Python Package), Performance Metric, Statistical Analysis, Scikit Learn (Machine Learning Library), Decision Making, Resource Allocation, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning

    Beginner · Specialization · 1 - 3 Months

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

    EDUCBA

    Master OpenCV Fundamentals for Real-Time Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Python Programming, Development Environment, NumPy, Debugging, Software Installation

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Apply OpenCV for Real-Time Computer Vision Projects

    Skills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Python Programming, Development Environment, NumPy, Machine Learning Methods, System Design and Implementation, Motion Graphics, Model Deployment, Software Installation, Debugging

    Beginner · Specialization · 3 - 6 Months

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

  • IBM RAG and Agentic AI: IBM
  • Measure Vector Similarity: Coursera
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
  • Machine Learning Foundations: Packt
  • Applied Object Detection & Segmentation: Coursera
  • Prompt Engineering for LLMs: Edureka
  • Mathematical Thinking in Computer Science: University of California San Diego
  • Product Analytics Unlocked: Metrics to Meaningful Insight: Coursera
  • Foundations of AI Engineering: Packt
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud

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