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  • Practical Python Implementation

Results for "practical python implementation"


  • 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, Model Deployment, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Cloud Computing, Python Programming

    Build toward a degree

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

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    C

    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Building Web Applications with Flask

    Skills you'll gain: Flask (Web Framework), Restful API, Software Testing, Databases, Software Quality (SQA/SQC), JSON, Application Programming Interface (API), MongoDB, Full-Stack Web Development, Web Applications, NoSQL, Back-End Web Development, Python Programming, Maintainability, Application Deployment, Data Validation, Authentications

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cloud Application Development Foundations

    Skills you'll gain: Cloud-Native Computing, Cloud Computing Architecture, React Redux, CI/CD, Cloud Applications, Cloud Services, Node.JS, Cloud Development, Cloud Deployment, NoSQL, MongoDB, Server Side, Agile Methodology, React.js, IBM Cloud, Hypertext Markup Language (HTML), HTML and CSS, JavaScript Frameworks, DevOps, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Embeddings, Supervised Learning, Keras (Neural Network Library), Machine Learning, Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Agentic AI Development & Security

    Skills you'll gain: AI Security, Threat Modeling, Open Web Application Security Project (OWASP), Security Testing, Retrieval-Augmented Generation, Software Architecture, API Design, Test Automation, Vulnerability Management, Agentic systems, Systems Design, Model Evaluation, Test Driven Development (TDD), CI/CD, Python Programming, Continuous Deployment, Dependency Analysis, Large Language Modeling, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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

    Edureka

    Developing LLM Applications with LangChain

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Interactive Data Visualization, Dashboard, Data Ethics, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, Deep Learning, Statistical Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Introduction to Data Science: IBM
  • Secure AI Code & Libraries with Static Analysis: Coursera
  • Building Web Applications with Flask: Packt
  • Machine Learning: DeepLearning.AI
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Cloud Application Development Foundations: IBM
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Deep Learning: DeepLearning.AI
  • Agentic AI Development & Security: Coursera
  • Developing LLM Applications with LangChain: Edureka

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