Jun 6, 2022Member-onlyText Classification — Sentiment analysis using Hugging TransformersA guide to implementing sentiment analysis using Hugging Transformers. — Text classification The raw data in form of text has a rich source of information and can be pretty helpful in extracting insights from it and making it meaningful and structured. In machine learning, text classification is used as a technique to assign categories to text. …Hugging Face3 min readHugging Face3 min read
Published inLevel Up Coding·May 29, 2022Member-onlySorting and Hash Tables — PythonA guide to understanding how Hash Tables can be used in Python. SORTING It is the re-arranging of items in an array. [13,5,2,9] -> [2,5,9,13] after sorting. Most of the sorting algorithms in a worst-case scenario take O(n log n) time complexity. EXAMPLE Let’s take an example to understand the time complexity…Python3 min readPython3 min read
May 30, 2021Should I consider BlueHost for web hosting?A guide to knowing if BlueHost is the right fit for your hosting needs. — With the online business blooming during this pandemic, websites play an important role so as to reach the target audience. It is one of the most crucial elements that help in branding and creating a strong online presence. Creating an attractive website is just one part, it is equally important…Bluehost2 min readBluehost2 min read
Published inBetter Programming·Apr 8, 2021Movie Similarity Recommendations Using PythonA guide to learning about and implementing recommender systems in Python — What Is a Recommender System? Recommender systems predict a user’s future choices/preferences and recommend products/items they might be interested in. What Are the Types of Recommender Systems? The two most common types are: Content-based recommender systems Collaborative filtering What Is a Content-Based Recommender System?Python4 min readPython4 min read
Published inCodeX·Mar 31, 2021Analyzing data using Principal Component Analysis (PCA)A guide to knowing and understanding PCA using Python. — What is Principal component analysis? The principal component analysis is an unsupervised learning technique abbreviated as PCA. It is also called general factor analysis. It is used to study the interrelations among a set of variables so as to figure out the underlying structure of those variables. It is used to analyze data. How does it work?Python4 min readPython4 min read
Published inTowards AI·Mar 30, 2021Using Gridsearchcv To Build SVM Model for Breast Cancer DatasetA guide to understanding and implementing SVMs in Python. — What is a support vector machine? Support vector machines abbreviated as SVMs is a supervised learning algorithm used for classification tasks as well as regression analysis. It analyzes data and recognizes patterns. In this article, SVM will be demonstrated for a classification problem. Why is SVM a non-probabilistic binary linear classifier?Python4 min readPython4 min read
Published inTowards AI·Mar 27, 2021Clustering Custom Data Using the K-Means Algorithm — PythonA guide to understanding and implementing the K-means algorithm using Python. — What is the K-Means clustering algorithm? The K-Means clustering algorithm is an unsupervised learning algorithm meaning that it has no target labels. This algorithm groups the similar clusters together. Where is clustering used in the real world? The various applications of the clustering algorithm are: Market segmentationPython5 min readPython5 min read
Published inTowards AI·Mar 23, 2021Grouping Classes Using K-Nearest Neighbors Algorithm — PythonA guide to knowing and implementing the KNN algorithm. — What is the KNN algorithm? It is an algorithm used for classification tasks and works on a very simple principle. How does it work? The KNN algorithm is very basic. The training algorithm stores all the data. And the predicting algorithm calculates the distance of a data point to all points in the data, sorts the points in the…Python4 min readPython4 min read
Published inTowards AI·Mar 17, 2021Helping Bloom E-Commerce Business Using Linear Regression — PythonA guide to understanding and implementing linear regression. — What is the history of linear regression? In the 1800s, a person named Francis Galton was studying the relationship between parents and children by looking into the correlation between the heights of the fathers and their sons. He identified that a father’s son is likely to be as tall as his father. …Python7 min readPython7 min read
Published inTowards AI·Mar 9, 2021Capital Assets Pricing Model (CAPM) — Using PythonA guide to knowing about CAPM and implementing it in Python. — What is CAPM? The capital asset pricing model (CAPM) is very widely used and is considered to be a very fundamental concept in investing. It determines the link between the risk and expected return of assets, in particular stocks. What is the CAPM equation? The CAPM is defined by the following formula:Python4 min readPython4 min read
