Machine Learning with NumPy, pandas, scikit-learn, and More

Introduction

Explore the basics of XGBoost, a high-performance library for gradient boosted decision trees. Understand how it improves on traditional decision trees with faster training and better accuracy for classification and regression tasks.

We'll cover the following...

A. XGBoost vs. scikit-learn
B. Gradient boosted trees

1.What you'll learn from this course

2.Data Manipulation with NumPy

3.Data Analysis with pandas

4.Data Preprocessing with scikit-learn

5.Data Modeling with scikit-learn

6.Clustering with scikit-learn

7.Gradient Boosting with XGBoost

8.Deep Learning with TensorFlow

9.Deep Learning with Keras

Mock Interview

Introduction