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

Introduction

Explore how to create effective linear regression and classification models using scikit-learn. Understand the process of hyperparameter tuning and model evaluation through cross-validation to optimize your data analysis results.

We'll cover the following...

A. Creating models for data

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

A. Creating models for data