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  • Python Read Csv

Results for "python read csv"


  • C

    Coursera

    Product Analytics Unlocked: Metrics to Meaningful Insight

    Skills you'll gain: Data Storytelling, Dashboard, Data Pipelines, Web Analytics, Strategic Prioritization, Customer Retention, Process Analysis, Customer Analysis, Product Strategy, SQL, Data Analysis, Business Intelligence, Data Warehousing, Pandas (Python Package), Performance Metric, Statistical Analysis, Scikit Learn (Machine Learning Library), Decision Making, Resource Allocation, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Introduction to Chatbots - Build Your First AI Assistant

    Skills you'll gain: ChatGPT, Google Gemini, Model Deployment, Development Environment, Gemini, Cloud Deployment, LLM Application, Artificial Intelligence, Generative AI, Application Deployment, Machine Learning Software, Software Architecture, Python Programming, Software Development Tools

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Microsoft Fabric Data Engineer: DP-700 Exam Prep

    Skills you'll gain: Data Architecture, Real Time Data, Data Lakes, Capacity Management, Data Pipelines, PySpark, Transact-SQL, Apache Spark, Data Transformation, Data Security, Event Monitoring, Microsoft Copilot, Continuous Monitoring, Data Analysis, Workflow Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Warehouse Operations, Warehouse Management

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • E

    Edureka

    Developing MCP-Powered Agentic AI Systems

    Skills you'll gain: Model Context Protocol, Model Deployment, AI Orchestration, AI Workflows, LangGraph, Agentic systems, Middleware, Scalability, Interoperability, LLM Application, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), LangChain, Prompt Engineering, Artificial Intelligence, Generative AI, Google Gemini, Application Programming Interface (API), Python Programming, Performance Analysis

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • L

    LearnQuest

    Microsoft Azure: AI, Infrastructure, and Data Solutions

    Skills you'll gain: Cloud Infrastructure, Microsoft Azure, Infrastructure As A Service (IaaS), Data Processing, Big Data, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Databricks, Infrastructure Security, Data Pipelines, Virtual Networking, Azure DevOps, Virtual Machines, Azure Active Directory, Analytics, Active Directory, Network Security, Model Deployment, Python Programming, Role-Based Access Control (RBAC)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • U

    University of California, Davis

    Learn Spanish: Basic Spanish Vocabulary

    Skills you'll gain: Peer Review, Language Learning, Spanish Language, Oral Expression, Grammar, Oral Comprehension, Vocabulary, Culture, Writing and Editing, Language Competency, Research, Writing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Product Analytics Unlocked: Metrics to Meaningful Insight: Coursera
  • Introduction to Chatbots - Build Your First AI Assistant: Packt
  • Microsoft Fabric Data Engineer: DP-700 Exam Prep: Edureka
  • Machine Learning Foundations: Packt
  • Understanding Open AI Workspaces: Coursera
  • Developing MCP-Powered Agentic AI Systems: Edureka
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Microsoft Azure: AI, Infrastructure, and Data Solutions: LearnQuest
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud

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