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  • Python Read Csv


Results for "python read csv"


  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Inheritance and Data Structures in Java

    Skills you'll gain: File I/O, Java Programming, Eclipse (Software), Java, Debugging, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, Development Environment, Software Design, Programming Principles, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    Northwestern University

    Modern Robotics, Course 2: Robot Kinematics

    Skills you'll gain: Robotics, Mathematical Modeling, Mathematical Software, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Simulation and Simulation Software, Engineering, Virtual Environment, Torque (Physics), Numerical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    210 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Exploring C

    Skills you'll gain: C (Programming Language), Python Programming, Programming Principles, System Programming, Computer Programming, Unix, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Generative AI for Developers

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, Artificial Intelligence, Object Oriented Programming (OOP), Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Neural Networks, Maintainability, Computer Programming, Data Cleansing, Debugging, Problem Solving, Critical Thinking, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    212 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Full Stack Software Developer Assessment

    Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Services, JavaScript Frameworks, Back-End Web Development, Cloud Deployment, DevOps, Full-Stack Web Development, OpenShift, Version Control, CI/CD, Application Frameworks, Software Development, Web Applications, Microservices, Containerization, Kubernetes, Web Development, Node.JS, Serverless Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    289 reviews

    Intermediate · Course · 1 - 4 Weeks

1…899091…173

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

  • Getting started with TensorFlow 2: Imperial College London
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Inheritance and Data Structures in Java: University of Pennsylvania
  • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
  • Data Science Challenge: Coursera
  • Exploring C : University of Michigan
  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • Principles of Computing (Part 2): Rice University
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Machine Learning Models in Science: LearnQuest

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