Neural Networks or preferably called Artificial neural networks forms the building block for Deep learning activities. In this article, we will explore the various ways we can visualize your neural network architecture. We will be using 4 different methods to help us visualize the components of a neural network. By the end of this tutorial …
Python is popular in the data science world. It has several libraries and packages for performing data analysis, data visualization, machine learning,deep learning and also for converting your models into product. Certain libraries like Pandas, Scikit-learn, Tensorflow, PyTorch, Flask, Streamlit and Plotly made Python very useful for Data Scientist and Data Engineers. JavaScript on the …
All programming languages can be classified under two main groups based on how and when we assign data-types to variables before the program runs. In this respect there can be static typed programming languages such as Java, C++ ,Go and dynamic typed programming languages such as Python, JavaScript, Julia. However certain languages offers the freedom …
Introduction to Python Typing For Type Annotation Read More »
In the previous tutorial we saw how to generate and decode QR-code using python. In this tutorial we will see how to do the same using a different language precisely – Golang/Go. By the end of this tutorial you will learn about What QR-Codes are How to generate QR-Code in Golang Tools/Packages for generating QR-Code …
QR-code s a type of matrix barcode mostly 2-dimenstional barcode that was invented in 1994 by Denso Wave a Japanese automotive company. It stands for Qucik Response code. In this tutorial we will explore how to generate our own QR-code using python and also how to decode the generated QR-code. By the end of this …
SQL is an essential skills every data scientist and data engineer needs to know. In this article we will build a simple app where anybody can try out his know how on SQL. The app we will be building is like a clone of sqlzoo.net where by you can practice your SQL queries. By the …
Building SQL Playground App with Streamlit and Python Read More »
The usual machine learning we perform is usually on data that is at rest, in other words we train our model on an already collected data which is in batches. This concept of building ML models on data at rest is termed Batch Machine Learning. It is the most common and useful. However what if …
Online Machine Learning In Python with River (ML on Streaming Data) Read More »
When building machine learning models, it is essential to have a baseline by which you can compare the performance of the model you are building. The baseline you set gives you the benefit of knowing whether you are on track and whether your model is improving or not. The type of baseline you set is …
How to Set a Baseline for Machine Learning Models in Python Read More »
Streamlit has done it again, it has introduced a long awaited feature request – Themes. The ability to change the look of streamlit apps is now possible with the Streamlit Themes. To enjoy this feature you will need to update your streamlit to version 0.79 and upwards pip install –upgrade streamlit Streamlit Themes The new …
Streamlit Themes – How to Customize Your Streamlit Apps Read More »
Docker is one of the revolutionary technologies that has pushed the boundaries of software development since it inception. In this tutorial we will be learning the most important and commonly used docker commands using the 80/20 rule also popularly called the Pareto Principle. The Pareto Principle or 80/20 rules simple states that 80 percent of …