## Creating Helper Functions

Since we will be building many time-series forecasting models, it is a good idea to create helper functions to make …

## Time Series Analysis using Python

In this lesson, we will be learning to perform some basic time series analysis using Python (both statistical as well …

## Getting Started with Time-Series Data

Before we dive into time-series forecasting with TensorFlow 2.0, we first need to be familiar with time-series data and how …

## Introduction to Time-Series Forecasting

Time-series forecasting refers to the use of a machine learning model to predict future values based on previously observed values. …

## Time Series Forecasting with TensorFlow 2.0 – Introduction

Welcome to this course on Time-Series Forecasting with TensorFlow 2.0! In this course, you will be learning how to build …

## Practice Questions and Solutions

Now it is time to put your new-found knowledge to the test through the practice questions on Linear Algebra listed …

## Matrix Transpose, Determinants and Inverse

In this lesson, we will learn about some matrix transformation techniques such as the matrix transpose, determinants, and the inverse. …

## Dot Products and Matrix Multiplication

While working with matrices, there are two major forms of multiplicative operations: dot products and matrix multiplication. A dot product …

## Introduction to Matrices

A matrix is a 2-dimensional array made up of rows () and columns (). When discussing matrix dimensionality, the standard …

## Building a Convolutional Neural Network

As we learned in the previous chapter, Neural Networks receive an input (a single vector), and transform it through a …