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  • Python Numpy

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Results for "python numpy"


  • Status: Preview
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    S

    Sungkyunkwan University

    Recommender Systems

    Skills you'll gain: Scalability, Deep Learning, AI Personalization, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Git for developers: managing workflows and conflicts

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Collaborative Software, Continuous Integration

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Skills you'll gain: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Tool Calling, Agentic systems, Model Deployment, Automation, Application Deployment, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Mejores prácticas para el procesamiento de datos en Big Data

    Skills you'll gain: Databricks, Real Time Data, PySpark, Apache Hive, Apache Spark, Big Data, Data Processing, SQL, Data Manipulation, Pandas (Python Package)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    43 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Data Visualization: Fundamentals to Interactive Storytelling

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Whizlabs

    Deploying Microservices to Kubernetes using Azure DevOps

    Skills you'll gain: Azure DevOps Pipelines, Kubernetes, Azure DevOps, Node.JS, CI/CD, DevOps, Application Lifecycle Management, Microservices, Program Development, Containerization, Software Testing, Debugging, Cloud Development, Cloud Deployment, Application Deployment, Scripting, Version Control, Git (Version Control System)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Recommender Systems: Sungkyunkwan University
  • Git for developers: managing workflows and conflicts: Coursera
  • Recommender Systems with Machine Learning: Packt
  • Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Mejores prácticas para el procesamiento de datos en Big Data: Coursera
  • Data Visualization: Fundamentals to Interactive Storytelling: University of Pittsburgh
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Data Science Fundamentals, Part 1: Pearson

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