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Cmap in Python: Tutorials & Examples | Colormaps in Matplotlib (Updated 2025)
Learn about colormaps in Matplotlib, including how to create, modify, and choose them for effective data visualization in Python!
Guest Blog 04 Apr, 2025
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How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning?
Learn how to master DBSCAN, a powerful clustering algorithm in machine learning. Discover its applications, & implementation steps.
Abhishek Sharma 02 May, 2025
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How to Integrate Machine Learning into Web Applications with Flask
In this article, I will teach you how to embed an machine learning model in your Web Application with Flask in the and deploy it on Heroku.
Guest Blog 05 Sep, 2020
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Precision and Recall in Machine Learning
Precision vs recall are two crucial topics in machine learning. Learn everything about precision and recall in machine learning. Start exploring Now!
Purva Huilgol 07 Apr, 2025
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The Lifecycle to Build a Web Application for Prediction from Scratch
Data Science project consists of 7 steps. This article goes through this lifecycle to build a web application for heart disease classification
Guest Blog 24 Oct, 2024
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Plotting Decision Surface for Classification Machine Learning Algorithms
A Decision Surface could be a powerful tool to visualize and understand how a model arrives at its predictions. We will plot decision surface
Guest Blog 09 Nov, 2020
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Exploratory Data Analysis(EDA) in Python!
Exploratory data analysis is one of the best practices used in data science today. It is imporatnt as it helps in understanding the data.
Guest Blog 30 Jul, 2021
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How to Extract tabular data from PDF document using Camelot in Python
Camelot is a Python library that makes it easy for anyone to extract tables from PDF files. Learn using cameot in this article.
Guest Blog 14 Aug, 2020
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What are Categorical Data Encoding Methods | Binary Encoding
Learn what is categorical data and various categorical data encoding methods such as binary encoding, dummy, target encoding etc.
Shipra Saxena 01 May, 2025
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Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!
Learn how to evaluate your Machine Learning model, understand bias, variance, and the bias-variance tradeoff with a clear example. Essential steps included!
Purva Huilgol 07 Apr, 2025
