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All you need to know about your first Machine Learning model – Linear Regression
Linear Regression is the supervised ML model in which the model finds the best fit linear line between the independent and dependent variable
Deepanshi 20 Jul, 2023
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Guide to Sentiment Analysis using Natural Language Processing
Learn how sentiment analysis in NLP can revolutionize business intelligence. Explore its algorithms and applications. Read Now!
Nikhil 02 May, 2025
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Classification Problem: Relation between Sensitivity, Specificity and Accuracy
Understand the importance of sensitivity specificity, and accuracy in classification problems. Learn how these metrics impact finding the optimum boundary.
Mohit 02 May, 2025
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Activation Function in Neural Networks
Learn about the importance of activation functions in neural networks and how they enable handling intricate tasks with non-linear computations.
Lakshmi 01 May, 2025
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Comprehensive & Practical Inferential Statistics Guide for data science
This guide explains inferential statistics for data science in simple and practical manner. This includes t-tests, hypothesis testing, ANOVA & Regression
NSS 06 Mar, 2025
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An Introduction to Problem-Solving using Search Algorithms for Beginners
Explore essential search algorithms. Discover their inner workings and applications for data analysis and problem-solving.
Dhanya Thailappan 16 Oct, 2024
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Essentials of Deep Learning – Sequence to Sequence modelling with Attention (using python)
This article covers Seq2Seq models and Attention models. This seq2seq tutorial explains Sequence to Sequence modelling with Attention.
Faizan Shaikh 15 May, 2020
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Support Vector Machine – Simplified
Support vector machines are very effective. This article explains about the svm classification algorithm, its working and its uses.
Tavish Srivastava 14 Dec, 2022
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Building a Logistic Regression model from scratch
This article describes the basics of Logistic regression, the mathematics behind the logistic regression & how to build a logistic regression model in R.
Tavish Srivastava 26 Jun, 2020
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Introduction to Markov chain : simplified! (with Implementation in R)
An introduction to the Markov chain. In this article learn the concepts of the Markov chain in R using a business case and its implementation in R.
Tavish Srivastava 25 Jun, 2020
