Apply the IF condition in the Pandas DataFrame Now let’s review the following 5 cases: IF condition – a set of numbers Let’s say you create a DataFrame in Python with 10 numbers (from 1 to 10). Then, you’ll apply the following IF conditions: Here’s the general structure you can use to create an IF condition:…
Data set: It is one of the challenges posed by Kaggle in the UCI Machine Learning repository It is a dataset of breast cancer patients with malignant and benign tumors. Logistic regression is used to predict whether a given patient will have a malignant or benign tumor based on the attributes in a given data set. code:loading libraries Code: Load the dataset…
How does Python implement face swapping? This post is the first of 3 articles in which we will build a mobile app that will automate the face swapping. Computer vision has proven to be one of the most revolutionary fields in computer science because it provides solutions to some of the world’s most challenging problems….
How do I connect images using OpenCV? In order to use Python to connect images vertically and horizontally, the cv2 library provides two functions to implement python image stitching: Use hconcat() and vconcat() on arrays Python Merge Multiple Pictures Implementation: Pass a list of images as an n-dimensional array, where the images in the list are connected vertically…
What are the common Python interview questions? The tech industry is growing at an unprecedented rate. Every now and then, we see new software products being released in the market. So, whether you’re a newbie or an experienced Python developer, there’s always a chance waiting for you. The only requirement is that you have to convince…
Additional tips for SEO: In machine learning and data science, we often encounter a problem called data distribution imbalance, which usually occurs when one class has much higher or lower observations than the others. Since machine learning algorithms tend to improve accuracy by reducing errors, they don’t take into account the distribution of classes. This problem is…
Need to get descriptive stats for Pandas DataFrame? How does Pandas DataFrame get descriptive statistics? If so, you can use the following template to get descriptive statistics for a specific column in a DataFrame: Alternatively, you can use this template to get descriptive statistics for the entire DataFrame: In the next section, I’ll show you the steps to export descriptive…
Boston Housing Data: This dataset is taken from the StatLib library and maintained by Carnegie Mellon University. The dataset relates to housing prices in Boston, the city of housing. The dataset provided has 506 instances and 13 features. The dataset description is taken from Let’s build a linear regression model to predict house prices Input libraries and datasets….
Use the Scikit-learn library in Python to build a speech emotion recognition system to detect emotion from the tone of human voice. Python Scikit-learn to make a speech emotion recognizer: With the improvement of user experience and the involvement of voice user interface (VUI), the importance of emotion recognition is becoming more and more popular. The development of a…
Data Mining Interview Questions and Answers Collection: Data mining is the process of extracting useful information from a data warehouse or batch of data. This article contains the most popular and common interview questions for data mining and their detailed answers. These will help you crack any interview for a data scientist job. Let’s get…