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Introduction to Supervised Deep Learning Algorithms!
The deep learning algorithms are capable to learn without human supervision. Here, we will discuss some supervised deep learning algorithms.
Jitendra 27 May, 2021
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Working with Stock Market Time Series Data using Facebook Prophet
Facebook Prophet is an open-source forecasting method. In this article predict on stock market time series data using Facebook prophet
Prateek Majumder 28 Oct, 2024
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Understanding Multiclass Classification Using SVM
In this article understand the multiclass classification using SVM (Support Vector Machine) for aspiring data scientists
Chirag Goyal 23 Feb, 2024
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Predictive Analytics for Personalized Cancer Diagnosis
designing a predictive analytics system that detects whether the patient is diagnosed with Cancer or not using Machine Learning.
shruti 17 May, 2021
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Demystifying the working of Principal Component Analysis!
In this article, we will learn the need for Principal Component Analysis, its working and the interpretation of the principal components.
Himanshu 15 May, 2021
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What is Federated Learning?
Federated Learning trains central models on decentralized data.This article is a beginner's guide to what is federated learning. Explore now.
Sukanya Bag 17 Feb, 2025
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A comprehensive tutorial on Deep Learning – Part 1
Explore deep learning fundamentals, its applications, data requirements, and key concepts like logistic regression and gradient descent.
Sion 30 Jan, 2025
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The Game of Increasing R-squared in a Regression Model
R-squared is the degree to which the variance in the dependent variable can be explained by independent variable and is used in regression
Chirag Goyal 15 May, 2021
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K-Nearest Neighbour: The Distance-Based Machine Learning Algorithm.
Explore KNN distance calculation capabilities and filtering techniques to gain a better understanding of this powerful algorithm on our informative website.
Shivam 09 Nov, 2023
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SVM: What makes it superior to the Maximal-Margin and Support Vector Classifiers?
Is Support vector machines are better than maximal margin and support vector classifiers or we can use them interchangeably.
Shivam 26 Oct, 2021
