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  • Practical Python Implementation


Results for "practical python implementation"


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Data Analysis, Markov Model, Network Analysis, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Statistical Analysis, Biology, Algorithms, Data Preprocessing, Machine Learning, Data Analysis Software, Data Mapping, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    ML Model Training & Validation

    Skills you'll gain: Deep Learning, Transfer Learning, Systems Design, Model Evaluation, Feature Engineering, Predictive Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Supervised Learning, Data Preprocessing, Data Pipelines, Python Programming, Scikit Learn (Machine Learning Library), Software Engineering, Debugging, Data Quality, Data Validation, Performance Metric, Git (Version Control System), Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

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

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Network Architecture, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Transfer Learning, Systems Design, AWS SageMaker, Model Evaluation, API Design, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, CI/CD, Data Pipelines, Python Programming, Unit Testing, Performance Tuning, Software Engineering, Data Validation

    Intermediate · Specialization · 1 - 3 Months

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

    Edureka

    Building RAG and MCP Servers with Claude

    Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, AI Orchestration, Generative AI Agents, Anthropic Claude, Prompt Engineering, Tool Calling, Generative AI, Automation, Scalability, Application Programming Interface (API), Servers, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Architect Reusable AI Agent Systems

    Skills you'll gain: Agentic systems, Systems Architecture, API Design, Maintainability, Systems Design, Solution Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Project Execution: Running the Project

    Skills you'll gain: Quality Management, Project Closure, Team Management, Project Management, Project Management Life Cycle, Quality Assurance, Team Leadership, Project Controls, Project Implementation, Project Risk Management, Data Storytelling, Project Documentation, Continuous Improvement Process, Stakeholder Communications, Data-Driven Decision-Making, Process Improvement, Risk Management, Meeting Facilitation, Strategic Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Understanding Open AI Workspaces

    Skills you'll gain: Generative AI, Cloud Computing, Cloud API, API Design, Python Programming, Data Persistence

    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, Data Quality, Data Transformation, Model Deployment, Applied Machine Learning, Exploratory Data Analysis, Data Manipulation, Statistical Reporting, Data Pipelines, Tensorflow, Deep Learning, Computer Vision, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • 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: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    748 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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

    Coursera

    Ensure Consistency in Streaming Pipelines

    Skills you'll gain: Apache Kafka, Data Pipelines, Integration Testing, Verification And Validation, Transaction Processing, Data Integrity, Real Time Data, Apache Spark, Data Architecture, System Design and Implementation, Service Level, Event Monitoring, Performance Tuning, Project Implementation, Apache, Production Management, Internet Of Things

    Intermediate · Course · 1 - 4 Weeks

1…737475…591

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

  • Bioinformatics: University of California San Diego
  • ML Model Training & Validation: Coursera
  • AI Model Development & Deployment: Coursera
  • Building RAG and MCP Servers with Claude: Edureka
  • Architect Reusable AI Agent Systems: Coursera
  • Project Execution: Running the Project: Google
  • Understanding Open AI Workspaces: Coursera
  • Applied Object Detection & Segmentation: Coursera
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
  • Data Science Methodology: IBM

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