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  • Python Object Serialization

Results for "python object serialization"


  • E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Advanced API Testing with Postman

    Skills you'll gain: Continuous Delivery, Web Services, Software Testing, Test Execution Engine

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Fundamentals of Java Programming

    Skills you'll gain: Eclipse (Software), Java Programming, Object Oriented Programming (OOP), Java, Object Oriented Design, Integrated Development Environments, Development Environment, Computer Programming, Debugging, Virtual Machines, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    634 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Ethical Hacking and CompTIA PenTest+ V3 (PT0-003) Exam Prep

    Skills you'll gain: Penetration Testing, Metasploit, Exploitation techniques, Cloud Security, Vulnerability Scanning, Cyber Security Assessment, Network Security, Application Security, Vulnerability Assessments, Cybersecurity, Mobile Security, Human Factors (Security), Network Analysis, Scripting, Virtual Machines, Linux, Technical Communication

    Advanced · Course · 3 - 6 Months

  • P

    Pragmatic AI Labs

    Hugging Face Hub and Ecosystem Fundamentals

    Skills you'll gain: Hugging Face, Model Deployment, Transfer Learning, MLOps (Machine Learning Operations), Data Processing, Model Evaluation, Image Analysis, Natural Language Processing, Applied Machine Learning, Data Pipelines, Knowledge of Apple Hardware

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Understand RAG Basics

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, Generative AI, Embeddings, Context Management, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    204 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 3 Months

1…929394…252

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

  • AutoML: Build ML Models without Code: Edureka
  • Apply Advanced API Testing with Postman: EDUCBA
  • Fundamentals of Java Programming: Board Infinity
  • Ethical Hacking and CompTIA PenTest+ V3 (PT0-003) Exam Prep: Packt
  • Hugging Face Hub and Ecosystem Fundamentals: Pragmatic AI Labs
  • Optimize and Manage Your ML Codebase: Coursera
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Understand RAG Basics: Coursera
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Getting Started with Automated Machine Learning (AutoML): Edureka

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