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Advanced Python in Excel: Machine Learning

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Christian Martinez

36:04

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  • 01 - Introduction.mp4
    00:52
  • 02 - What you should know.mp4
    01:08
  • 01 - Recap of Python.mp4
    01:14
  • 02 - Recap of machine learning.mp4
    01:48
  • 03 - Data cleaning and preparation.mp4
    01:38
  • 04 - Challenge How would you solve this problem with ML.mp4
    00:50
  • 05 - Solution How would you solve this problem with ML.mp4
    01:26
  • 01 - Introduction to machine learning concepts.mp4
    01:26
  • 02 - Building regression models in Excel.mp4
    02:07
  • 03 - Classification models for business data.mp4
    02:06
  • 04 - Challenge Build a regression model.mp4
    00:41
  • 05 - Solution Build a regression model.mp4
    01:48
  • 01 - Predictive analytics for financial forecasting.mp4
    02:40
  • 02 - Automated decision-making processes.mp4
    01:58
  • 03 - Real-time data processing and analysis.mp4
    01:48
  • 04 - Challenge Create a financial forecast.mp4
    00:32
  • 05 - Solution Create a financial forecast.mp4
    01:26
  • 01 - Data manipulation with pandas.mp4
    01:36
  • 02 - Numerical analysis with NumPy.mp4
    01:49
  • 03 - Machine learning with scikit-learn.mp4
    01:15
  • 01 - Linear regression for business insights.mp4
    01:37
  • 02 - Random forests for predictive modelling.mp4
    01:21
  • 03 - Clustering techniques for market segmentation.mp4
    01:50
  • 01 - Next steps.mp4
    01:08
  • Description


    Demand is increasing for data-driven decision-making and the rapid integration of Python in Excel and ML across business sectors. In this course, Finance Transformation Senior Manager Christian Martinez offers timely training that empowers you to efficiently leverage vast amounts of data for competitive advantage, aligning with current market needs.

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    Christian Martinez
    Christian Martinez
    Instructor's Courses
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 24
    • duration 36:04
    • English subtitles has
    • Release Date 2024/12/06