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  • Practical Python Implementation

Results for "practical python implementation"


  • D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Data Visualization Software, Data Preprocessing, Data Cleansing, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Popular This Week
    Popular This Week
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    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
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Extract, Transform, Load, Data Warehousing, Web Scraping, Database Administration, Data Engineering, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, Database Management, Apache Kafka, Apache Airflow, Bash (Scripting Language), Database Architecture and Administration, Shell Script, IBM DB2, Generative AI, Data Import/Export, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Productivity, Creativity, Self-Discipline, Stress Management, Self-Awareness, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM Generative AI Engineering

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    99K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Network Protocols, Basic Electrical Systems, Automation Engineering, User Requirements Documents, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Requirements Analysis, Debugging, Application Programming Interface (API), TCP/IP, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Data Visualization Software, Data Science, Statistical Programming, Cloud Services, Cloud Computing, Git (Version Control System), Other Programming Languages, Development Environment, Python Programming, Data Management, Machine Learning, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Trending in AI
    Trending in AI
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65K reviews

    Beginner · Professional Certificate · 3 - 6 Months

1…616263…624

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

  • Neural Networks and Deep Learning: DeepLearning.AI
  • Introduction to Data Science: IBM
  • Generative AI with Large Language Models: DeepLearning.AI
  • Machine Learning: DeepLearning.AI
  • IBM Relational Database Administrator with GenAI: IBM
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • IBM Generative AI Engineering: IBM
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Tools for Data Science: IBM

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