This is a video series on learning data science in 100 days. In this video, I have covered the topic of boosting, Boosting helps in reducing the bias and to a certain extent variance as well in the model. Boosting is an ensemble technique that is sequential as well. Here the performance of the model at a step is considered for the next iteration. The popular boosting algorithms are Adaboost, GBM, and XGBoost. This video also includes implementation using python

Link to Code:
https://github.com/rsharankumar/Learn_Data_Science_in_100Days

#data-science #python