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…
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 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…
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…
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…
Linear regression is the most basic type of machine learning. It is based on the simple straight-line formula we have all learned in middle school. Though there are a lot…
This article will be a comprehensive guide for SQL unions and joins. A lot of time databases are designed in a way that joins and unions are essential. For convenience,…
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,…
Given the hype going on about data science, this is a very valid question, do you need a master's degree. If this hype is genuine or not is also another…
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…