In this tutorial, we are going to see opencv functions to draw shapes like Line, Rectangle, Circle, Ellipse, and Polygon along with syntax and examples.

In this article, we will go through tutorial for matplotlib animation with the help of examples for better understanding for beginners.

In this tutorial, we will learn about NLTK Lemmatization using WordNetLemmatizer with examples and also compare Stemming vs Lemmatization.

In this article, we will go through the Seaborn boxplot tutorial using boxplot() function along with various examples for beginners

In this article, we will see some notable online cloud platforms that offer support for Jupyter Notebook which can be accessed as easily as a single click.

In this article, we will do an in-depth comparison between Keras vs Tensorflow vs Pytorch over various parameters and see their different characteristics.

In this article we will go through Matplotlib Pie chart tutorial for beginners with syntax and many examples to build a great understanding,

Contents1 Introduction1.1 IBM’s Deep Blue Defeats Garry Kasparov in Chess [1996-1997]1.2 IBM Watson defeats Brad Rutter and Ken Jennings in Jeopardy [2011]1.3 Deepmind’s AlphaGo defeats Lee Sudol in game of Go [2016]1.4 Deepmind’s Alphastar beats StarCraft…

In this post we will have a in-depth comparison between supervised vs unsupervised learning and see what are their popular practical use cases

In this tutorial, we will see the morphological operation of erosion & dilation and learn OpenCV functions cv2.erode() and cv2.dilate() along with example.

This article we will cover various tensor functions in tensorflow.js for creating tensors, linear algebra operations, and memory management.

Contents1 Numpy Random1.1 Numpy Import2 1) np.random.seed2.1 Syntax2.2 Setting the Numpy Seed Value3 2) np.random.normal3.1 Syntax3.2 Example – 1: Creating 1-D Numpy Random Array3.3 Example – 2: Creating 2-D Numpy Random Array3.4 Example – 3: Creating 3-D…

In this article, we will go through the tutorial of Seaborn distplot which is a kind of distribution plot along with various examples.

In this article, we will see many useful Javascript libraries for machine learning, data science, deep learning, NLP, and Computer Vision