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Home Courses Projects and Case Studies on Machine Learning with Python
Home Courses Projects and Case Studies on Machine Learning with Python

Projects and Case Studies on Machine Learning with Python

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What you'll get

  • 4h 5m
  • 41 Videos
  • Course Level - Intermediate| English[Auto-generated]
  • Course Completion Certificates
  • One-Year Access
  • Mobile App Access

Curriculum:

    Machine Learning Case Studies:

    The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data.
    This course includes real-world projects which are used by data scientists or people who inspire to be the data scientist.

    The tutorials will include the following;
    The modules of this course include:
    1. Statistics and Probability
    2. Regression
    3. Time Series
    4. Clustering
    5. Classification
    6. Chart types and when to use them.

    Target Customers:

    • • Anyone who wants to learn about data and analytics
    • • Data Engineers
    • • Analysts
    • • Architects
    • • Software Engineers
    • • IT operations
    • • Technical managers

    Pre-Requisites:

    • • No prior knowledge of machine learning required
    • • Basic knowledge of programming languages

    * One-Time Payment & Get One-Year Access

    Offer ends in:

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    Course Overview

    This course includes real-world projects which are used by data scientists or people who inspire to be the data scientist.

    11
    6 - 12 hours 4h 5m | 41 Videos | 56409 Views | Intermediate  Intermediate| English[Auto-generated]
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    Machine Learning Case Studies:

    The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data.
    This course includes real-world projects which are used by data scientists or people who inspire to be the data scientist.

    The tutorials will include the following;
    The modules of this course include:
    1. Statistics and Probability
    2. Regression
    3. Time Series
    4. Clustering
    5. Classification
    6. Chart types and when to use them.

    Watch our Demo Courses and Videos

    Valuation, Hadoop, Excel, Mobile Apps, Web Development & many more.

    Target Customers:

    • • Anyone who wants to learn about data and analytics
    • • Data Engineers
    • • Analysts
    • • Architects
    • • Software Engineers
    • • IT operations
    • • Technical managers

    Pre-Requisites:

    • • No prior knowledge of machine learning required
    • • Basic knowledge of programming languages

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