Haider Alitechwithhaiderali.hashnode.dev·Mar 17, 2024Reverse Encoding in Sklearn preprocessingIn scikit-learn (sklearn), preprocessing data is an essential step in machine learning pipelines. One of the common preprocessing techniques is encoding categorical variables into numerical values. However, sometimes we might want to do the inverse o...DiscussPython
Metana Editorialdevthini.hashnode.dev·Feb 8, 2024How to Use SkLearn (scikit-learn) in Java?Sklearn also know as Scikit-learn is a widely used machine learning library in Python that offers a comprehensive set of tools and algorithms for data science tasks. Its popularity stems from its simplicity, versatility, and extensive documentation. ...Discusssklearn
Monojit Sarkarmonojit13.hashnode.dev·Nov 30, 2023Handling Categorical VariablesHow does one train ML or AI algorithms when dataset contains categorical variables? Algorithms only understand numerical values. That's why there are techniques known as Label Encoding or One-Hot Encoding. I find the concept cool. One dummy data for ...Discusscategorical data
Andrea D’Agostinodag.hashnode.dev·Nov 21, 2023Introduction to PCA in Python with Sklearn, Pandas, and MatplotlibAs data analysts and scientists, we are often faced with complex challenges due to the growing amount of information available. It is undeniable that the accumulation of data from various sources has become a constant in our lives. Data scientist or ...Discuss·34 readsData AnalyticsPca
Robert Collinsselfenrichment.hashnode.dev·Jul 6, 2023color optimization problems in pythonYou wouldn't think that artists might have a legitimate use for an optimization library like cvxpy or sk learn. 😃 This document acts as an addendum and starting point to look into this small python library I created at the beginning of the year: Col...Discuss·101 readsPython
Aswin Lalaswnss.hashnode.dev·Jun 29, 2023Sentiment Analysis with Naive Bayes Classifier using NLTK and Scikit-learnIntroduction: In this blog post, we will explore how to perform sentiment analysis on movie reviews using the Naive Bayes classifier. Sentiment analysis is a popular task in natural language processing that involves determining the sentiment or opini...Discuss·64 readsnlp
Abhay swarnakarabhayswarnakar.hashnode.dev·Jun 28, 2023Feature ScalingFeature scaling is a data preprocessing technique that involves transforming the value of features or variables in a dataset to a similar scale. Feature scaling can vary your results a lot while using certain algorithms and have minimal or no effect ...Discuss·1 like·112 readsPython 3
MemgraphforMemgraphmemgraph.hashnode.dev·Jun 12, 2023Understanding Cosine Similarity in Python with Scikit-LearnCosine similarity proved useful in many different areas, such as in machine learning applications, natural language processing, and information retrieval. After reading this article, you will know precisely what cosine similarity is, how to run it wi...Discuss·104 readssklearn
Rhythm Rawatrhythmblogs.hashnode.dev·Apr 8, 2023Supervised Machine Learning Series:Decision trees(3rd Algorithm)Decision trees are one of the most popular and widely used machine learning algorithms. They are easy to understand and interpret, making them ideal for both beginners and experts alike. A decision tree is a tree-like structure that represents decisi...Discuss·1 like·89 readsMachine Learning
Bhagirath Deshani bhagirathkd.hashnode.dev·Jan 6, 2023#33 Machine Learning & Data Science Challenge 33What is the pipeline in sklearn? A pipeline is what chains several steps together, once the initial exploration is done. For example, some codes are meant to transform features—normalize numerically, turn text into vectors, or fill up missing data,...Discuss·35 readsMachine Learning & Data Science Interview ChallengesMachine Learning