The advent of code 2021: Day 1 solution using Python
Sonar Sweep: Part 1 You’re minding your own business on a ship at sea when the overboard alarm goes off! You rush to see if …
Tag: python
Pandas – Working with Text: Everything to do with strings and pandas
In this article, I will go over all the string manipulations we may need to do while using Pandas. Handling text data is one of …
DataFrame: The workhorse of Pandas
A DataFrame is a two-dimensional table of data that can store different data types in different columns. Pandas assign an index label and an index …
Series: Building Block for Pandas – An Overview
Series is a one-dimensional labeled array for homogenous data, which means it can only store one type of data. Pandas assign each series value with …
A tour of Pandas: one of the most commonly used Python libraries for data
This is the first article in my series about Pandas. In this article, I will quickly go over the basic functionalities related to Pandas. This …
Widgets in Kivy: let’s get that UI functional
In this article, some of the widgets offered in Kivy. I will talk about how to use them, how to customize them, and also go …
Kivy Layouts Overview: Let’s get your GUI arranged
Kivy is one of the famous GUI libraries offered in Python. In this article, I will be going over various layout options provided by Kivy …
Evaluating Regression Models: Improving your model’s efficiency
In this article, I will go over various evaluation metrics available for a regression model. I will also go over the advantages and disadvantages of …
train_test_split(): making splitting your data easier for your ML pipeline
Splitting the data into a test and train set is one of the first things we would do in our Machine Learning process. While training …
RandomizedSearchCV: An automated way of improving your model’s performance
To get the optimal solution, we need to fine-tune our model with different values of the hyperparameters. This can be a daunting task, fortunately, Scikit-Learn …