XGBoost: Regression step by step with Python | Data Analysis | Supervised learning | Real estate
Do you want to learn the different steps of machine learning with eXtreme Gradient Boosting in regression??
In this amazing episode, we'll cover step by step a complete machine learning analysis for regression through the extreme gradient boosting regressor using the PRICE HOUSE EVAL with python JUPYTER NOTEBOOK. Pandas libraries for data manipulation, matplotlib for creation of graphics, sklearn for calling performances functions and XGBoost for the regressor.
- What is Extreme Gradient Boosting
- Why to do regression?
- Data to analyze: predicting house prices
* null values, which variables to use
- Features and characteristics : summary, select and drop
- Split into train and test sets: using sklearn library
* what is test size? how to control it?
- More used parameters in XGB:
* number of estimators, learning rate, max depth, etc.
- How to fit the model: calling the regressor
- Feature importance: which variables have more impact on the model?
- Model performance: what are MSE and R^2??
- What is overfitting, underfitting??
#The Data: https://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set
My code??? find it here:
https://github.com/raulvalerio/supervised-learning-in-python
### Classification with XGB and python: https://youtu.be/ptFRggaTCXs
## Hierarchical clustering with python
Video Chapter 1: https://youtu.be/m_zaJakEUm4
## Clustering in python
https://youtu.be/m_zaJakEUm4
## clustering in R
https://youtu.be/qrm8igxwHOQ
Any comments or suggestions are welcome.
Contact: inforvstats@gmail.com
Mi canal de estadistica en español
https://www.youtube.com/channel/UCe4UCHmQu92O03Z1fgzUXmQ
Web Scraping with Pandas: Extracting data with HTML | Python | Statistic and data science Tutorial: https://youtu.be/rIrkhkaF4u8
#Machinelearning #tutorial #Python #Supervised learning
## statistical analysis # basic python from zero # artificial intelligence
## input and output, statistical analysis # Unsupervised algorithm
# Partition, Hierarchical, density based clustering # data mining mineria de datos
# Centroides
Видео XGBoost: Regression step by step with Python | Data Analysis | Supervised learning | Real estate канала RVStats Consulting
In this amazing episode, we'll cover step by step a complete machine learning analysis for regression through the extreme gradient boosting regressor using the PRICE HOUSE EVAL with python JUPYTER NOTEBOOK. Pandas libraries for data manipulation, matplotlib for creation of graphics, sklearn for calling performances functions and XGBoost for the regressor.
- What is Extreme Gradient Boosting
- Why to do regression?
- Data to analyze: predicting house prices
* null values, which variables to use
- Features and characteristics : summary, select and drop
- Split into train and test sets: using sklearn library
* what is test size? how to control it?
- More used parameters in XGB:
* number of estimators, learning rate, max depth, etc.
- How to fit the model: calling the regressor
- Feature importance: which variables have more impact on the model?
- Model performance: what are MSE and R^2??
- What is overfitting, underfitting??
#The Data: https://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set
My code??? find it here:
https://github.com/raulvalerio/supervised-learning-in-python
### Classification with XGB and python: https://youtu.be/ptFRggaTCXs
## Hierarchical clustering with python
Video Chapter 1: https://youtu.be/m_zaJakEUm4
## Clustering in python
https://youtu.be/m_zaJakEUm4
## clustering in R
https://youtu.be/qrm8igxwHOQ
Any comments or suggestions are welcome.
Contact: inforvstats@gmail.com
Mi canal de estadistica en español
https://www.youtube.com/channel/UCe4UCHmQu92O03Z1fgzUXmQ
Web Scraping with Pandas: Extracting data with HTML | Python | Statistic and data science Tutorial: https://youtu.be/rIrkhkaF4u8
#Machinelearning #tutorial #Python #Supervised learning
## statistical analysis # basic python from zero # artificial intelligence
## input and output, statistical analysis # Unsupervised algorithm
# Partition, Hierarchical, density based clustering # data mining mineria de datos
# Centroides
Видео XGBoost: Regression step by step with Python | Data Analysis | Supervised learning | Real estate канала RVStats Consulting
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