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  • Working With Sequential Data

Results for "working with sequential data"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    548 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    COBOL Programming with VSCode

    Skills you'll gain: COBOL (Programming Language), Integrated Development Environments, Business Logic, Mainframe Computing, Programming Principles, Computer Programming Tools, Computer Programming, File I/O, Data Management, Maintainability, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    190 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Validation in Excel for Beginners

    Skills you'll gain: Microsoft Excel, Data Validation, Excel Formulas, Spreadsheet Software, Data Quality, Pivot Tables And Charts, Data Cleansing, Project Management, Data Visualization, Timelines, Data Presentation, Graphing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    682 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Preprocessing Unstructured Data for LLM Applications

    Skills you'll gain: Retrieval-Augmented Generation, Unstructured Data, LLM Application, Data Preprocessing, Metadata Management, JSON, Image Analysis, Data Transformation, Document Management, Vision Transformer (ViT)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling Climate Anomalies with Statistical Analysis

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    Kibana 8.x – A Quick Start Guide to Data Analysis

    Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming with Linux

    Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Linux, Embedded Systems, File I/O, Embedded Software, Software Visualization, Programming Principles, Computer Engineering, Linux Servers, File Systems, System Programming, Algorithms, Computer Architecture, Computer Programming, Software Documentation, Computer Science, Software Engineering, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    434 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    Simplilearn

    Programming with C ++

    Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Computer Programming, Programming Principles, Algorithms, Data Structures, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular working with sequential data courses

  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • COBOL Programming with VSCode: IBM
  • Data Validation in Excel for Beginners: Simplilearn
  • AI Capstone Project with Deep Learning : IBM
  • Preprocessing Unstructured Data for LLM Applications: DeepLearning.AI
  • Modeling Climate Anomalies with Statistical Analysis: University of Colorado Boulder
  • Logistic Regression with NumPy and Python: Coursera
  • Kibana 8.x – A Quick Start Guide to Data Analysis: Packt
  • C Programming with Linux: Dartmouth College
  • Mastering Image Segmentation with PyTorch: Packt

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