Linkedin - Machine Learning with Data Reduction in Excel, R, and Power BI

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[ CoursePig.com ] Linkedin - Machine Learning with Data Reduction in Excel, R, and Power BI
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 01 - Use data reduction for valuable insights.mp4 (6.0 MB)
    • 01 - Use data reduction for valuable insights.mp4.jpg (174.9 KB)
    • 01 - Use data reduction for valuable insights.srt (2.0 KB)
    • 02 - What you should know.mp4 (1.5 MB)
    • 02 - What you should know.srt (1.4 KB)
    • 03 - Introducing the course project.mp4 (9.8 MB)
    • 03 - Introducing the course project.srt (4.0 KB)
    • 04 - Configuring Excel Solver Add-in.mp4 (4.3 MB)
    • 04 - Configuring Excel Solver Add-in.srt (3.0 KB)
    • 05 - Working with R.mp4 (18.3 MB)
    • 05 - Working with R.srt (10.2 KB)
    • 06 - Configuring R in Power BI.mp4 (11.8 MB)
    • 06 - Configuring R in Power BI.srt (5.8 KB)
    02 - 1. Working with Large Datasets
    • 01 - AI and machine learning.mp4 (16.4 MB)
    • 01 - AI and machine learning.srt (11.7 KB)
    • 02 - Numerosity.mp4 (23.8 MB)
    • 02 - Numerosity.srt (11.0 KB)
    • 03 - Dimensionality.mp4 (17.8 MB)
    • 03 - Dimensionality.srt (9.1 KB)
    • 04 - Aggregating or grouping data.mp4 (34.7 MB)
    • 04 - Aggregating or grouping data.srt (12.9 KB)
    • 05 - Histograms.mp4 (19.8 MB)
    • 05 - Histograms.srt (7.9 KB)
    • 06 - Binning.mp4 (14.0 MB)
    • 06 - Binning.srt (7.9 KB)
    • 07 - Correlation and covariance.mp4 (31.6 MB)
    • 07 - Correlation and covariance.srt (13.9 KB)
    • 08 - Challenge Getting the data.mp4 (3.7 MB)
    • 08 - Challenge Getting the data.srt (2.0 KB)
    • 09 - Solution Getting the data.mp4 (7.2 MB)
    • 09 - Solution Getting the data.srt (3.1 KB)
    03 - 2. Clustering
    • 01 - Calculating distances.mp4 (28.5 MB)
    • 01 - Calculating distances.srt (11.5 KB)
    • 02 - Hierarchical clustering.mp4 (52.2 MB)
    • 02 - Hierarchical clustering.srt (12.0 KB)
    • 03 - Heatmaps and dendrograms.mp4 (20.7 MB)
    • 03 - Heatmaps and dendrograms.srt (8.2 KB)
    • 04 - K-means clustering in one dimension.mp4 (40.7 MB)
    • 04 - K-means clustering in one dimension.srt (12.8 KB)
    • 05 - K-means clustering in two dimensions.mp4 (17.1 MB)
    • 05 - K-means clustering in two dimensions.srt (7.3 KB)
    • 06 - Determining k.mp4 (28.2 MB)
    • 06 - Determining k.srt (11.7 KB)
    • 07 - Challenge Clustering.mp4 (2.0 MB)
    • 07 - Challenge Clustering.srt (1.2 KB)
    • 08 - Solution Clustering.mp4 (28.5 MB)
    • 08 - Solution Clustering.srt (10.9 KB)
    04 - 3. PCA
    • 01 - Visualizing PCA.mp4 (34.8 MB)
    • 01 - Visualizing PCA.srt (12.9 KB)
    • 02 - Using Excel Solver to find solutions.mp4 (18.3 MB)
    • 02 - Using Excel Solver to find solutions.srt (8.0 KB)
    • 03 - Solving for principal components axes.mp4 (18.4 MB)
    • 03 - Solving for principal components axes.srt (3.9 KB)
    • 04 - Eigenvalues.mp4 (16.1 MB)
    • 04 - Eigenvalues.srt (8.3 KB)
    • 05 - Eigenvectors.mp4 (27.9 MB)
    • 05 - Eigenvectors.srt (13.8 KB)
    • 06 - PCA projection space.mp4 (24.3 MB)
    • 06 - PCA projection space.srt (8.6 KB)
    • 07 - Scree plot.mp4 (6.8 MB)
    • 07 - Scree plot.srt (3.5 KB)
    • 08 - Challenge PCA.mp4 (2.1 MB)
    • 08 - Challenge PCA.srt (1.2 KB)
    • 09 - Solution PCA.mp4 (14.1 MB)
    • 09 - Solution PCA.srt (5.8 KB)
    05 - 4. Selecting Dimensions
    • 01 - Analyzing potential model dimensions.mp4 (30.0 MB)
    • 01 - Analyzing potential model dimensions.srt (10.8 KB)
    • 02 - Removing or replacing null values.mp4 (15.4 MB)
    • 02 - Removing or replacing null values.srt (5.8 KB)
    06 - 5. Power BI and R
    • 01 - Setting up R in Power Query Editor.mp4 (16.0 MB)
    • 01 - Setting up R in Power Query Editor.srt (7.6 KB)
    • 02 - Creating custom code with R standard visual.mp4 (14.3 MB)
    • 02 - Creating custom code with R standard visual.srt (5.9 KB)
    • 03 - Challenge Power BI.mp4 (1.4 MB)
    • 03 - Challenge Power BI.srt (0.6 KB)
    • 04 - Solution Power BI.mp4 (23.4 MB)
    • 04 - Solution Power BI.srt (9.3 KB)
    07 - Conclusion
    • 01 - Next steps.mp4 (2.7 MB)
    • 01 - Next steps.srt (2.3 KB)
    • Bonus Resources.txt (0.4 KB)
      • Ex_Files_ML_with_Data_Reduction_Excel_R_Power_BI Exercise Files 01_02_begin
      • Numerosity and Dimensionality.R (0.1 KB)
      • Numerosity and Dimensionality.xlsx (54.9 MB)
      01_02_end 01_04_begin
      • Grouping.R (0.1 KB)
      • Grouping.xlsx (54.9 MB)
      • Numerosity and Dimensionality.R (0.2 KB)
      • Numerosity and Dimensionality.xlsx (67.2 MB)
        • 01_03_begin
        • Numerosity and Dimensionality.R (0.2 KB)
        • Numerosity and Dimensionality.xlsx (67.2 MB)
        01_03_end
        • Numerosity and Dimensionality.R (0.3 KB)
        • Numerosity and Dimensionality.xlsx (55.7 MB)
        01_04_begin
        • Grouping.R (0.1 KB)
        • Grouping.xlsx (54.9 MB)
        01_04_end
        • Grouping.R (0.7 KB)
        • Grouping.xlsx (75.4 MB)
        01_05_begin
        • Histogram.R (1.3 KB)
        • Histogram.xlsx (54.9 MB)
        01_05_end
        • Histogram.R (0.4 KB)
        • Histogram.xlsx (75.6 MB)
        01_06_begin
        • Histogram.R (0.4 KB)
        • Histogram.xlsx (75.6 MB)

Description

Machine Learning with Data Reduction in Excel, R, and Power BI



https://CoursePig.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 3h 32m | Size: 1.32 GB

Analytics is a big part of how the world does data science. But did you know that you can use applications like Excel, R, and Power BI for high-dimensional data reduction with machine learning models and algorithms? In this course, instructor Helen Wall gives you an overview of machine learning and data reduction techniques that enable you to analyze large datasets and determine trends with a variety of different classifications.

Learn about machine learning models like clusters and anomaly detection algorithms. Find out more about distance, dimensionality, and granularity, as you explore dimensional and numerical data reduction techniques, analytic models, and visualization tools in Excel, R, and Power BI. Along the way, get tips on how to integrate your methods so you can scale them for sharing with a wider audience.



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Linkedin - Machine Learning with Data Reduction in Excel, R, and Power BI

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1.5 GB
seeders:5
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Linkedin - Machine Learning with Data Reduction in Excel, R, and Power BI

Torrent hash: 699016891FD4982F7B74D921B25170293C34D355