| 1. Course Material.html | 102.4 B | ||
| 1. Deploy models in Power BI.mp4 | 18.3 MB | ||
| 1. Entrenando un modelo de regresión con Sklearn en Power BI.mp4 | 32.4 MB | ||
| 1. Fundamentals of Clustering Models with Pycaret in Power BI.mp4 | 10.8 MB | ||
| 1. Fundamentals of classification models with Pycaret in Power BI.mp4 | 15.8 MB | ||
| 1. Fundamentals of regression models with Pycaret in Power BI.mp4 | 30.4 MB | ||
| 1. How to run python scripts.mp4 | 23 MB | ||
| 1. Install Python and synchronization with Power BI.mp4 | 33.2 MB | ||
| 1. Introducción a Power Bi.mp4 | 15.2 MB | ||
| 1. Introduction to AI.mp4 | 15.1 MB | ||
| 1. Introduction to autoML.mp4 | 9.5 MB | ||
| 1. Regresion.pbix | 456.1 KB | ||
| 1. Regresion_sklearn.pbix | 66.8 KB | ||
| 1. Visual Q&A.mp4 | 27.4 MB | ||
| 10. Predictions with time series.mp4 | 34.6 MB | ||
| 11. Solution Exercise 4.mp4 | 18.5 MB | ||
| 12. Detection of anomalies in time series.mp4 | 36 MB | ||
| 13. Solution Exercise 5.mp4 | 26.3 MB | ||
| 2. Applied project_Development of a regression model of XGBoost.mp4 | 48.6 MB | ||
| 2. Clasification.pbix | 109.8 KB | ||
| 2. Clustering model evaluation metrics.mp4 | 4.7 MB | ||
| 2. Configuring the Q&A visual.mp4 | 27.4 MB | ||
| 2. Descarga y presentación de Power BI Desktop.mp4 | 30.2 MB | ||
| 2. Evaluation and obtaining of metrics of the Sklearn regression model.mp4 | 35.7 MB | ||
| 2. Evaluation metrics of classification models.mp4 | 16.5 MB | ||
| 2. Installing Pycaret.mp4 | 15.6 MB | ||
| 2. Regresion.pbix | 456.7 KB | ||
| 2. Seaborn Basics.mp4 | 20.4 MB | ||
| 2. Training and optimization of models with Pycaret.mp4 | 57.2 MB | ||
| 2. Types of Machine Learning Models.mp4 | 18.2 MB | ||
| 3. Applied project_Development of a classification model in Power BI.mp4 | 37.3 MB | ||
| 3. Applied project_Development of a clustering model in Power BI.mp4 | 61 MB | ||
| 3. Applied project_Integration of the XGBoost model in Power BI.mp4 | 26.8 MB | ||
| 3. Clasification_basic.pbix | 77.1 KB | ||
| 3. Clustering.pbix | 137.5 KB | ||
| 3. Importación de datos.mp4 | 34.9 MB | ||
| 3. Jupyter Notebook Fundamentals.mp4 | 23 MB | ||
| 3. Model evaluation and deployment with Pycaret.mp4 | 33.2 MB | ||
| 3. Phases of training Machine Learning models.mp4 | 8.1 MB | ||
| 3. Selecting the correct chart type.mp4 | 18 MB | ||
| 3. Solution Exercise 1.mp4 | 31 MB | ||
| 3.1. Clasification_advance.pbix | 91.3 KB | ||
| 4. Applied project_Adding model evaluation charts to PowerBI.mp4 | 28.3 MB | ||
| 4. Applied project_Data preprocessing with Python.mp4 | 73.6 MB | ||
| 4. Applied project_Development of the model in Jupyter and integration in Power BI.mp4 | 66 MB | ||
| 4. Applied project_Model load and prediction in Power BI.mp4 | 14.9 MB | ||
| 4. Clustering.pbix | 471.8 KB | ||
| 4. Herramientas para analizar la calidad del dato.mp4 | 31.5 MB | ||
| 4. Key Influencers.mp4 | 42.2 MB | ||
| 4. Main Machine Learning algorithms.mp4 | 7.7 MB | ||
| 5. Applied project_Analysis of numerical variables with Seaborn.mp4 | 33.8 MB | ||
| 5. Applied project_Applying advanced pre-processing to the data.mp4 | 35.8 MB | ||
| 5. Exercise 1. Regression models in Power BI.mp4 | 7.1 MB | ||
| 5. Exercise 3. Clustering models in Power BI.mp4 | 5 MB | ||
| 5. Funciones de pre-procesamiento de datos.mp4 | 49 MB | ||
| 5. Major Chart Segments Key Influencers.mp4 | 19.2 MB | ||
| 6. Applied project_Evaluation of the classification model in Power BI.mp4 | 43.5 MB | ||
| 6. Correlation vs Causation.mp4 | 11.8 MB | ||
| 6. Solution Exercise 1.mp4 | 56 MB | ||
| 6. Solution Exercise 3.mp4 | 26.3 MB | ||
| 7. Exercise 2. Classification models in Power BI.mp4 | 5.6 MB | ||
| 7. Solution Exercise 2.mp4 | 19.5 MB | ||
| 8. Exercise 3 Hierarchical scheme.mp4 | 45.2 MB | ||
| 8. Solution_Exercise 2.mp4 | 40.7 MB | ||
| 9. Solution Exercise 3.mp4 | 22.6 MB | ||
| Backorden Percentage.csv | 27 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Channel.csv | 102.4 B | ||
| Clustering.ipynb | 4.2 MB | ||
| Cooks Distance.png | 9.8 KB | ||
| Dashboard_Retail.pbix | 857.9 KB | ||
| Data analytics with Python.pbix | 1.6 MB | ||
| Dax Reference Cheat Sheet.pbix | 162.1 KB | ||
| District.csv | 307.2 B | ||
| Exercise_Soluciton_Contoso PowerBi.pbix | 957.9 KB | ||
| Exercise_Solution_Regresion.ipynb | 68.1 KB | ||
| Exercises_Artificial Intelligence Charts.pdf | 181.1 KB | ||
| Exercises_Solution_Supply Chain.pbix | 1 MB | ||
| Exercises_Supply Chain.pbix | 1 MB | ||
| Explanations.csv | 1 KB | ||
| Feature Importance.png | 15.8 KB | ||
| Final RF Model 11Nov2020.pkl | 700.7 KB | ||
| Geography.csv | 22.2 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Item.csv | 1.3 MB | ||
| Learning Curve.png | 32.3 KB | ||
| Month.csv | 102.4 B | ||
| Pokemon.csv | 43 KB | ||
| Prediction Error.png | 24.8 KB | ||
| Product.csv | 290.5 KB | ||
| ProductCategory.csv | 204.8 B | ||
| ProductSubcategory.csv | 1 KB | ||
| Promotion.csv | 2.3 KB | ||
| Pycaret Fundamentals.ipynb | 436.8 KB | ||
| Regresion_ML model creation.ipynb | 58 KB | ||
| Residuals.png | 24.2 KB | ||
| Risk.csv | 972 KB | ||
| Sales Analytics.pbix | 2 MB | ||
| Sales.csv | 2 MB | ||
| Store.csv | 16.7 KB | ||
| Stores.csv | 15.8 KB | ||
| Supply Analytics.csv | 1.3 MB | ||
| Use Case_Boston Houses.pbix | 1.1 MB | ||
| blood.csv | 11 KB | ||
| cancer_pred.csv | 307.2 B | ||
| clustering.csv | 25.2 KB | ||
| clustering2.csv | 128.3 KB | ||
| insurance.csv | 54.3 KB | ||
| regresion_best_model_ejercicio.pkl | 194.4 KB | ||
| salary.xlsx | 10 KB | ||
| xgboost_cancer.pkl | 133.9 KB | ||
| ▲ 117 total files | |||
Machine Learning and Artificial Intelligence in Power BI
https://DevCourseWeb.com
Published 1/2023
Created by Data Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 57 Lectures ( 4h 23m ) | Size: 1.55 GB
Learn how to integrate Machine Learning and AI in Power BI with hands-on projects and professional Power BI instructors
What you'll learn
Machine Learning in Power Bi
Artificial intelligence in Power BI
Advanced analytics
Data analytics
Requirements
No
| torrent name | size | uploader | age | seed | leech |
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Udemy - Spark Machine Learning Project (House Sale Price Prediction) Posted by
freecoursewb in Other
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1.7 GB | freecoursewb | 4 days | 8 | 30 |
| 3.4 GB | freecoursewb | 2 weeks | 19 | 5 | |
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