Morphological Operations for Image Preprocessing in OpenCV, in Detail
In my last article, I wrote about some basic image processing in OpenCV. Today, we will advance a little bit and work on the morphological operations which are commonly used in…
Some Basic Image Preprocessing Operations for Beginners in Python
One of the most used libraries for handling image processing and manipulation is openCV for Python users. For image classification, object detection, or optical character recognition, any work related to…
How to Define Custom Layer, Activation Function, and Loss Function in TensorFlow
I have several tutorials on Tensorflow where built-in loss functions and layers had always been used. But Tensorflow is a lot more dynamic than that. It allows us to write…
Multi-Output Neural Networks in Tensorflow
A Step-by-Step Tutorial to Develop a Multi-Output Model in TensorFlow
I wrote several tutorials on TensorFlow before which include models with Sequential and Functional API, Convolutional Neural Networks, Reinforcement Neural Networks, etc. In this article, we will work on a…
Pivot and Unpivot Functions in BigQuery For Better Data Manipulation
Pivot is a very simple function in BigQuery that can be very useful when you need to rotate rows into columns. It uses an aggregate function on rows and converts…
Styling in Matplotlib
Some Simple But Advanced Styling in Python’s Matplotlib Visualization
Matplotlib is arguably the most popular visualization library in Python. The library is big and it is hard to really learn everything in the library. I have shared quite a…
Learn Precision, Recall, and F1 Score of Multiclass Classification in Depth
Precision, recall, and f1-score are very popular metrics in the evaluation of a classification algorithm. It is very easy to calculate them using libraries or packages nowadays. But I believe…
A Complete Guide for Detecting and Dealing with Outliers
Outliers can be a big problem in data analysis or machine learning. Only a few outliers can totally alter a machine learning algorithm's performance or totally ruin a visualization. So,…
Dealing with Null Values in Python
6 Ways to Dealing With Null Values
Null values are a big problem in machine learning and deep learning. If you are using sklearn, TensorFlow, or any other machine learning or deep learning packages, it is required…
How to Create and Use Multi-Index DataFrame to Scale Up Your Data Analysis
In most of the DataFrames, we see one index that works as a row identifier. But what if there is more than one index in a DataFrame. Is multi-index DataFrames…