by Shahinur | Sep 14, 2020 | Machine Learning
Overview of Supervised Learning Supervised learning is a type of machine learning algorithm that is designed to map input data to labeled output data. In supervised learning, an algorithm is trained on a labeled dataset, which means that each example in the dataset is...
by Shahinur | Dec 14, 2019 | Python
Matplotlib is a widely used visualization library in Python that allows easy creation of various types of line charts, bar charts, histograms, etc. Since Matplotlib is a visualization library, each example can be quite extensive. Here, we will try to understand this...
by Shahinur | Nov 27, 2019 | Matplotlib, Python
When we use the bar chart in matplotlib python library, the default bar color is uniform. We can change it by simply using the set_color() property. For example, follow this code snippet- import matplotlib.pyplot as plt plt.figure() barlist=plt.bar([1,2,3,4],...
by Shahinur | Nov 16, 2019 | Python
Numerical NumPy, commonly known as NumPy, is a significant library among Python’s numerous libraries. It is widely used for various types of numerical and scientific computing. It is unparalleled for working with multi-dimensional arrays. Let’s first see...
by Shahinur | Nov 8, 2019 | Basic Terminology, Optimization
MSE is known as Mean Squared Error. Basically, it is an optimization problem that is predominately used in image processing, signal processing, etc. Also, it is used as a loss function in machine learning and deep learning. MSE is calculated by squaring the difference...
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