Perform essential matrix math tasks. Work with linear regression. Consider neural network essentials. Move to deep learning basics. Work with […]

Understand how deep learning impacts the world around us. Consider the relationship between deep learning and machine learning. Create a […]

AI Adventures: Dive into Deep Learning – Introduction When you talk to some people about deep learning, they think of […]

Finding the data resource sources you need. Improving your education using online sources. Locating and using existing data challenges to […]

Understanding four basic, but essential, algorithms. Employing cross-validation, selection, and optimization techniques. Using linear and nonlinear tricks to increase complexity. […]

Installing and using various data science packages. Performing data analysis. Reducing data dimensions in a dataset. Clustering data in datasets. […]

Installing and using MatPlotLib. Defining parts of a graphic output. Creating and using various kinds of data presentations. Working with […]

Considering the Jupyter Notebook-supplied tools. Accessing and interacting with data from various sources. Performing essential data conditioning. Performing data shaping. […]

Understanding how Python can make data science easier. Defining the Python features commonly used for data science. Creating a Python […]

Data Detectives: Python for Smart Insights – Introduction Data is increasingly used for every possible purpose, and many of those […]