## Visualize Regression Models with Seaborn

In this article, I will explain how to Visualize Regression Models with Seaborn. To begin with, let us first understand Regression Models. Regression Models In order to find the relationship between two variables, we create a regression model. Basically, regression analysis or regression modeling is a predictive modeling technique where we have an independent variable …

## Find Mean, Median, and Mode in a List in Python

The following code example shows how to Find Mean, Median, and Mode in a List in Python. While, we find mean by summing up all elements in the list, the procedures to find median, and mode are different. In fact, the median is the middlemost element. Therefore, we need to choose the element at the …

## Find Prime Numbers in Given Range in Python

Today I will explain a simple application to Find Prime Numbers in Given Range in Python. In order to find the prime number in the given range, first, we need to set the range. For this purpose, we take two variables – upperlimit, and lowerlimit respectively. Also, take the input from the user in these …

## Running Instructions in an Interactive Interpreter in Python

This article demonstrates several examples of Running Instructions in an Interactive Interpreter in Python. In order to work with a python command-line interpreter, first, you need to install python. After that launch the command prompt and enter the python command as given below. Further instructions can be given on this command-line interpreter. The following code …

## Deep Learning Practice Exercise

The following Deep Learning Practice Exercise comprises important deep learning concepts. As a matter of fact, implementing a deep learning algorithm becomes easy with the help of certain python packages. Furthermore. TensorFlow and Keras are two such libraries that you can use in deep learning. While TensorFlow is an open-source library that offers both high-level …

## Python Practice Exercise

The following Python Practice Exercise comprises basic programming constructs, control flow, and functions in python. Also, the learner can apply the concepts of data structures like lists, tuples, sets, and dictionaries in python applications. Apart from this, it includes the use of object-oriented programming features of python to develop applications. Additionally, the following Python Practice Exercise aims …

## Deep Learning Methods for Object Detection

In this article, I will explain some of the state-of-art Deep Learning Methods for Object Detection. In order to perform image analysis, it is necessary to find out all the objects that the given image contains. Region-Based Convolution Neural Network In general, Region-Based Convolution Neural Network (R-CNN) works as follows. At first, it divides the whole image into regions. In fact, it creates …

## Understanding YOLO Algorithm

In brief, YOLO Algorithm is an object detection algorithm. While YOLO stands for You Only Look Once. We use this algorithm to determine the class of an object. In other words, given an image, the algorithm determines the classes of objects in the image. Also, it determines the location of objects in the given image. Hence, YOLO Algorithm is an important technique that we can use in many Computer Vision applications. …

## What is Image Segmentation?

Basically, Image Segmentation is an image processing technique. Significantly, it is an important part of object detection. In the case of object detection, it is required to partition an image. So, all the objects that the given image contains can be separated. Once we separate all parts of the image it becomes easier to analyze it. Applications of Image Segmentation The following list provides some of the applications where we can use image segmentation. In the case of …

## ImageNet and its Applications

Basically, ImageNet is a visual image dataset that contains a large number of images. In fact, the dataset contains more than 14 million images of over 22000 categories. Specifically, this dataset is created for solving computer vision problems. It is used for object recognition and the images that it contains are manually labeled. Applications of ImageNet In the first …