Linkedin - Power BI - Integrating AI and Machine Learning

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Linkedin - Power BI - Integrating AI and Machine Learning

Torrent Contents Size: 2.6 GB

Linkedin - Power BI - Integrating AI and Machine Learning
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APU000072610.csv
CSV
8.5 KB
ARIMA and TBATS Handout.pdf
PDF
30.3 KB
Bonus Resources.txt
TXT
307.2 B
Challenge.pbix
PBIX
207 KB
Electricity Demand.csv
CSV
297.5 MB
Electricity Generated.csv
CSV
456.7 MB
Electricity Outages.csv
CSV
258.3 KB
Energy Analysis.pbix
PBIX
19.4 MB
Error Logs.pbix
PBIX
322.9 KB
Error Logs.xlsx
XLSX
12.5 KB
Get Bonus Downloads Here.url
URL
204.8 B
Installing R Documentation.pdf
PDF
29.8 KB
KinetEco URLs.pbix
PBIX
13.9 KB
KinetEco sun and windmill logo on transparent background_LIL_11650.png
PNG
62.4 KB
Linear Regression Calculations.xlsx
XLSX
114 KB
PCETRIM12M159SFRBDAL.csv
CSV
8.1 KB
Power BI Query Keys.xlsx
XLSX
22.5 KB
Quick Insights Dataset.pbix
PBIX
8.2 MB
Scatter Plot Data Points.xlsx
XLSX
28.1 KB
Temperature Future.csv
CSV
43.2 KB
Temperatures.csv
CSV
13.3 MB
[10] Challenge Multiple variables.mp4
MP4
1.5 MB
[10] Challenge Multiple variables.srt
SRT
1.4 KB
[10] Solution Single variable.mp4
MP4
10.7 MB
[10] Solution Single variable.srt
SRT
4.3 KB
[11] Solution Multiple variables.mp4
MP4
13.8 MB
[11] Solution Multiple variables.srt
SRT
5.6 KB
[1] Configurating aggregations and dimensionality.mp4
MP4
16.1 MB
[1] Configurating aggregations and dimensionality.srt
SRT
7.7 KB
[1] Designing a consolidated view for sharing.mp4
MP4
17 MB
[1] Designing a consolidated view for sharing.srt
SRT
9.2 KB
[1] Determining key drivers with decomposition tree visual.mp4
MP4
11.9 MB
[1] Determining key drivers with decomposition tree visual.srt
SRT
6.3 KB
[1] How to learn ML and AI in Power BI.mp4
MP4
1.8 MB
[1] How to learn ML and AI in Power BI.srt
SRT
819.2 B
[1] Organizing time series analysis.mp4
MP4
19.2 MB
[1] Organizing time series analysis.srt
SRT
8.4 KB
[1] The power of Power BI.mp4
MP4
4.6 MB
[1] The power of Power BI.srt
SRT
1.8 KB
[1] Utilizing AI in the ETL framework.mp4
MP4
15.7 MB
[1] Utilizing AI in the ETL framework.srt
SRT
7.6 KB
[1] Visualizing relationships with scatter plots.mp4
MP4
16.4 MB
[1] Visualizing relationships with scatter plots.srt
SRT
7.4 KB
[2] Accessing the Analytics pane.mp4
MP4
12.8 MB
[2] Accessing the Analytics pane.srt
SRT
6.5 KB
[2] Adding forecasting from the Analytics pane.mp4
MP4
6.2 MB
[2] Adding forecasting from the Analytics pane.srt
SRT
3.3 KB
[2] Configuring parameters.mp4
MP4
17.5 MB
[2] Configuring parameters.srt
SRT
8.5 KB
[2] Filtering options.mp4
MP4
19.4 MB
[2] Filtering options.srt
SRT
8.1 KB
[2] Leveraging the Q&A visual.mp4
MP4
15.1 MB
[2] Leveraging the Q&A visual.srt
SRT
8.9 KB
[2] Uploading and sharing in the Power BI service.mp4
MP4
10.7 MB
[2] Uploading and sharing in the Power BI service.srt
SRT
7.3 KB
[2] What you should know.mp4
MP4
2.5 MB
[2] What you should know.srt
SRT
1.7 KB
[3] Analyzing dataset statistics and distributions.mp4
MP4
12.3 MB
[3] Analyzing dataset statistics and distributions.srt
SRT
6.3 KB
[3] Calculating DAX measures.mp4
MP4
19.4 MB
[3] Calculating DAX measures.srt
SRT
8.7 KB
[3] Calculating correlations.mp4
MP4
19.6 MB
[3] Calculating correlations.srt
SRT
7.7 KB
[3] Configuring quick insights.mp4
MP4
10.3 MB
[3] Configuring quick insights.srt
SRT
6.8 KB
[3] Discovering key insights with the Key Influencer visual.mp4
MP4
9.6 MB
[3] Discovering key insights with the Key Influencer visual.srt
SRT
3.5 KB
[3] Leveraging anomaly detection.mp4
MP4
23 MB
[3] Leveraging anomaly detection.srt
SRT
8.7 KB
[3] Overviewing AI and machine learning types.mp4
MP4
6.3 MB
[3] Overviewing AI and machine learning types.srt
SRT
5.4 KB
[4] Challenge Shared view.mp4
MP4
2.7 MB
[4] Challenge Shared view.srt
SRT
2.4 KB
[4] Challenge Single variable.mp4
MP4
4.5 MB
[4] Challenge Single variable.srt
SRT
2.5 KB
[4] Configuring separate error logs for existing datasets.mp4
MP4
18.8 MB
[4] Configuring separate error logs for existing datasets.srt
SRT
9.1 KB
[4] Defining dimensionality.mp4
MP4
3.3 MB
[4] Defining dimensionality.srt
SRT
3.3 KB
[4] Utilizing ARIMA forecasting.mp4
MP4
10.1 MB
[4] Utilizing ARIMA forecasting.srt
SRT
4.8 KB
[4] Utilizing parameters to model what-if scenarios.mp4
MP4
17.4 MB
[4] Utilizing parameters to model what-if scenarios.srt
SRT
8.9 KB
[4] Visualizing correlations.mp4
MP4
21.7 MB
[4] Visualizing correlations.srt
SRT
8.4 KB
[5] Adding clustering to existing visuals.mp4
MP4
13.7 MB
[5] Adding clustering to existing visuals.srt
SRT
5.9 KB
[5] Calculating rolling averages.mp4
MP4
20.7 MB
[5] Calculating rolling averages.srt
SRT
10.3 KB
[5] Challenge AI visuals.mp4
MP4
1.3 MB
[5] Challenge AI visuals.srt
SRT
1.2 KB
[5] Incorporating seasonality through TBATS forecasting.mp4
MP4
15.6 MB
[5] Incorporating seasonality through TBATS forecasting.srt
SRT
6.6 KB
[5] Running Vision algorithms.mp4
MP4
13.2 MB
[5] Running Vision algorithms.srt
SRT
7.3 KB
[5] Solution Shared view.mp4
MP4
9 MB
[5] Solution Shared view.srt
SRT
4.5 KB
[5] Utilizing the Power BI ecosystem and Azure.mp4
MP4
4.7 MB
[5] Utilizing the Power BI ecosystem and Azure.srt
SRT
4.9 KB
[6] Analyzing predictions vs. actuals.mp4
MP4
24.2 MB
[6] Analyzing predictions vs. actuals.srt
SRT
10.2 KB
[6] Calculating best fit line.mp4
MP4
31.7 MB
[6] Calculating best fit line.srt
SRT
8.9 KB
[6] Configuring R in Power BI Desktop.mp4
MP4
8.2 MB
[6] Configuring R in Power BI Desktop.srt
SRT
4.9 KB
[6] Solution AI visuals.mp4
MP4
11.1 MB
[6] Solution AI visuals.srt
SRT
5 KB
[6] Utilizing Text Analytics algorithms.mp4
MP4
11.4 MB
[6] Utilizing Text Analytics algorithms.srt
SRT
5.3 KB
[6] Utilizing binning to create histograms.mp4
MP4
15.2 MB
[6] Utilizing binning to create histograms.srt
SRT
8 KB
[7] Challenge Time series analysis.mp4
MP4
1.8 MB
[7] Challenge Time series analysis.srt
SRT
1.7 KB
[7] Introducing the course project.mp4
MP4
7.9 MB
[7] Introducing the course project.srt
SRT
4.6 KB
[7] Leveraging AI and the star schema.mp4
MP4
18.8 MB
[7] Leveraging AI and the star schema.srt
SRT
10.1 KB
[7] Summarizing statistics.mp4
MP4
15.3 MB
[7] Summarizing statistics.srt
SRT
6.4 KB
[7] Utilizing the outlier detection visual.mp4
MP4
13.5 MB
[7] Utilizing the outlier detection visual.srt
SRT
6.8 KB
[8] Adjusting DateTime fields for lags.mp4
MP4
16.1 MB
[8] Adjusting DateTime fields for lags.srt
SRT
6.4 KB
[8] Calculating outliers.mp4
MP4
12.1 MB
[8] Calculating outliers.srt
SRT
5.9 KB
[8] Solution Time series analysis.mp4
MP4
4.7 MB
[8] Solution Time series analysis.srt
SRT
2.3 KB
[8] Splitting a category with small multiples.mp4
MP4
7.7 MB
[8] Splitting a category with small multiples.srt
SRT
3.5 KB
[9] Contextualizing outliers.mp4
MP4
8.3 MB
[9] Contextualizing outliers.srt
SRT
2.9 KB
[9] Leveraging violin plots.mp4
MP4
12.8 MB
[9] Leveraging violin plots.srt
SRT
6.4 KB

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