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  • Tensorflow Datasets

Results for "tensorflow datasets"


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    352 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    656 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Relational Databases (RDBMS)

    Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
    ·
    757 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Building Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Pipelines, Dataflow, Extract, Transform, Load, Data Processing, Data Quality, Data Warehousing, Data Transformation, Google Cloud Platform, Data Validation, Big Data, Scalability, Apache Spark, Performance Tuning, System Monitoring, Serverless Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    465 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Computer Vision, Image Analysis, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Machine Learning Algorithms, Generative Model Architectures, Performance Tuning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español

    Skills you'll gain: Business Process, Business Process Modeling, Google Cloud Platform, Dataflow, Data Processing, Systems Design, Data Pipelines, Extract, Transform, Load, Data Infrastructure, Data Quality, Data Modeling, Data Management, Big Data, Data Warehousing, Unstructured Data, MLOps (Machine Learning Operations), Apache Airflow, Tensorflow, Real Time Data, Looker (Software)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular tensorflow datasets courses

  • Machine Learning: Regression: University of Washington
  • Unsupervised Machine Learning: IBM
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera
  • Reproducible Research: Johns Hopkins University
  • The R Programming Environment: Johns Hopkins University
  • Introduction to Relational Databases (RDBMS): IBM
  • COVID19 Data Analysis Using Python: Coursera
  • Building Batch Data Pipelines on Google Cloud: Google Cloud
  • Introduction to Big Data with Spark and Hadoop: IBM

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