Udemy - Machine Learning and Artificial Intelligence in Power BI

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Udemy - Machine Learning and Artificial Intelligence in Power BI

Torrent Contents Size: 1.6 GB

Udemy - Machine Learning and Artificial Intelligence in Power BI
▼ show more 102 files
1. Course Material.html
HTML
102.4 B
1. Deploy models in Power BI.mp4
MP4
18.3 MB
1. Entrenando un modelo de regresión con Sklearn en Power BI.mp4
MP4
32.4 MB
1. Fundamentals of Clustering Models with Pycaret in Power BI.mp4
MP4
10.8 MB
1. Fundamentals of classification models with Pycaret in Power BI.mp4
MP4
15.8 MB
1. Fundamentals of regression models with Pycaret in Power BI.mp4
MP4
30.4 MB
1. How to run python scripts.mp4
MP4
23 MB
1. Install Python and synchronization with Power BI.mp4
MP4
33.2 MB
1. Introducción a Power Bi.mp4
MP4
15.2 MB
1. Introduction to AI.mp4
MP4
15.1 MB
1. Introduction to autoML.mp4
MP4
9.5 MB
1. Regresion.pbix
PBIX
456.1 KB
1. Regresion_sklearn.pbix
PBIX
66.8 KB
1. Visual Q&A.mp4
MP4
27.4 MB
10. Predictions with time series.mp4
MP4
34.6 MB
11. Solution Exercise 4.mp4
MP4
18.5 MB
12. Detection of anomalies in time series.mp4
MP4
36 MB
13. Solution Exercise 5.mp4
MP4
26.3 MB
2. Applied project_Development of a regression model of XGBoost.mp4
MP4
48.6 MB
2. Clasification.pbix
PBIX
109.8 KB
2. Clustering model evaluation metrics.mp4
MP4
4.7 MB
2. Configuring the Q&A visual.mp4
MP4
27.4 MB
2. Descarga y presentación de Power BI Desktop.mp4
MP4
30.2 MB
2. Evaluation and obtaining of metrics of the Sklearn regression model.mp4
MP4
35.7 MB
2. Evaluation metrics of classification models.mp4
MP4
16.5 MB
2. Installing Pycaret.mp4
MP4
15.6 MB
2. Regresion.pbix
PBIX
456.7 KB
2. Seaborn Basics.mp4
MP4
20.4 MB
2. Training and optimization of models with Pycaret.mp4
MP4
57.2 MB
2. Types of Machine Learning Models.mp4
MP4
18.2 MB
3. Applied project_Development of a classification model in Power BI.mp4
MP4
37.3 MB
3. Applied project_Development of a clustering model in Power BI.mp4
MP4
61 MB
3. Applied project_Integration of the XGBoost model in Power BI.mp4
MP4
26.8 MB
3. Clasification_basic.pbix
PBIX
77.1 KB
3. Clustering.pbix
PBIX
137.5 KB
3. Importación de datos.mp4
MP4
34.9 MB
3. Jupyter Notebook Fundamentals.mp4
MP4
23 MB
3. Model evaluation and deployment with Pycaret.mp4
MP4
33.2 MB
3. Phases of training Machine Learning models.mp4
MP4
8.1 MB
3. Selecting the correct chart type.mp4
MP4
18 MB
3. Solution Exercise 1.mp4
MP4
31 MB
3.1. Clasification_advance.pbix
PBIX
91.3 KB
4. Applied project_Adding model evaluation charts to PowerBI.mp4
MP4
28.3 MB
4. Applied project_Data preprocessing with Python.mp4
MP4
73.6 MB
4. Applied project_Development of the model in Jupyter and integration in Power BI.mp4
MP4
66 MB
4. Applied project_Model load and prediction in Power BI.mp4
MP4
14.9 MB
4. Clustering.pbix
PBIX
471.8 KB
4. Herramientas para analizar la calidad del dato.mp4
MP4
31.5 MB
4. Key Influencers.mp4
MP4
42.2 MB
4. Main Machine Learning algorithms.mp4
MP4
7.7 MB
5. Applied project_Analysis of numerical variables with Seaborn.mp4
MP4
33.8 MB
5. Applied project_Applying advanced pre-processing to the data.mp4
MP4
35.8 MB
5. Exercise 1. Regression models in Power BI.mp4
MP4
7.1 MB
5. Exercise 3. Clustering models in Power BI.mp4
MP4
5 MB
5. Funciones de pre-procesamiento de datos.mp4
MP4
49 MB
5. Major Chart Segments Key Influencers.mp4
MP4
19.2 MB
6. Applied project_Evaluation of the classification model in Power BI.mp4
MP4
43.5 MB
6. Correlation vs Causation.mp4
MP4
11.8 MB
6. Solution Exercise 1.mp4
MP4
56 MB
6. Solution Exercise 3.mp4
MP4
26.3 MB
7. Exercise 2. Classification models in Power BI.mp4
MP4
5.6 MB
7. Solution Exercise 2.mp4
MP4
19.5 MB
8. Exercise 3 Hierarchical scheme.mp4
MP4
45.2 MB
8. Solution_Exercise 2.mp4
MP4
40.7 MB
9. Solution Exercise 3.mp4
MP4
22.6 MB
Backorden Percentage.csv
CSV
27 KB
Bonus Resources.txt
TXT
409.6 B
Channel.csv
CSV
102.4 B
Clustering.ipynb
IPYNB
4.2 MB
Cooks Distance.png
PNG
9.8 KB
Dashboard_Retail.pbix
PBIX
857.9 KB
Data analytics with Python.pbix
PBIX
1.6 MB
Dax Reference Cheat Sheet.pbix
PBIX
162.1 KB
District.csv
CSV
307.2 B
Exercise_Soluciton_Contoso PowerBi.pbix
PBIX
957.9 KB
Exercise_Solution_Regresion.ipynb
IPYNB
68.1 KB
Exercises_Artificial Intelligence Charts.pdf
PDF
181.1 KB
Exercises_Solution_Supply Chain.pbix
PBIX
1 MB
Exercises_Supply Chain.pbix
PBIX
1 MB
Explanations.csv
CSV
1 KB
Feature Importance.png
PNG
15.8 KB
Final RF Model 11Nov2020.pkl
PKL
700.7 KB
Geography.csv
CSV
22.2 KB
Get Bonus Downloads Here.url
URL
204.8 B
Item.csv
CSV
1.3 MB
Learning Curve.png
PNG
32.3 KB
Month.csv
CSV
102.4 B
Pokemon.csv
CSV
43 KB
Prediction Error.png
PNG
24.8 KB
Product.csv
CSV
290.5 KB
ProductCategory.csv
CSV
204.8 B
ProductSubcategory.csv
CSV
1 KB
Promotion.csv
CSV
2.3 KB
Pycaret Fundamentals.ipynb
IPYNB
436.8 KB
Regresion_ML model creation.ipynb
IPYNB
58 KB
Residuals.png
PNG
24.2 KB
Risk.csv
CSV
972 KB
Sales Analytics.pbix
PBIX
2 MB
Sales.csv
CSV
2 MB
Store.csv
CSV
16.7 KB
Stores.csv
CSV
15.8 KB
Supply Analytics.csv
CSV
1.3 MB
Use Case_Boston Houses.pbix
PBIX
1.1 MB
blood.csv
CSV
11 KB
cancer_pred.csv
CSV
307.2 B
clustering.csv
CSV
25.2 KB
clustering2.csv
CSV
128.3 KB
insurance.csv
CSV
54.3 KB
regresion_best_model_ejercicio.pkl
PKL
194.4 KB
salary.xlsx
XLSX
10 KB
xgboost_cancer.pkl
PKL
133.9 KB

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