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Ultimate Guide To Boosting Algorithms
Learn all the boosting algorithms, such as Gradient Boosting, XGBoost, CatBoost, Stacking, Blending, LightGBMBoost, and AdaBoost.
Kavish 24 Jul, 2024
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Identifying and Dealing with Multicollinearity and Heteroscedasticity
This article discusses Multicollinearity and Heteroscedasticity with their cause, detection, and handling.
Kavish 12 Oct, 2022
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Data Science Interview Part 3: ROC-AUC
ROC curve plots the correlation of True Positive Rate with False Negative Rate. It uses AUC when curves are not interpretable
Kavish 04 Aug, 2022
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Data Science Interview Series: Random Forest and SVM
This article will discuss the data science interview questions asked in Random Forest, SVM, bias-variance tradeoff, and ensemble methods.
Kavish 21 Jul, 2022
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Data Science Interview Series: Part-1
In this article, you will learn some basic data science interview questions which evolve around L2 regularisation, regression and so on.
Kavish 12 Jul, 2022
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Overview of Web 3.0, Blockchain, and Its Aspects
Web 3.0 is the decentralized version of the current web which means less control of any entity but of users.
Kavish 23 Jun, 2022
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Support Vector Machine with Kernels and Python Iterators
We will learn about some Support Vector Machine with Kernels, such as Linear, Polynomial, RBF and SVM algorithms in his daily work.
Kavish 08 Jun, 2022
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The Beginner’s Guide to Procedures, Functions, and Joins in SQL
Learn about the various types of joins in SQL such as Inner, Left, etc., and the techniques to develop and use procedures and functions.
Kavish 24 May, 2023
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Handling Imbalanced Data with Imbalance-Learn in Python
Master imbalanced dataset handling in Python using Imbalance-Learn for accurate predictions and improved model performance.
Kavish 23 Feb, 2024
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Streamlit Web API for NLP: Tweet Sentiment Analysis
In this article, learn to create a Streamlit Web API for Natural language processing task of Sentiment Analysis of Tweets
Kavish 15 Dec, 2020
