Kriti YadavWhy do we need Dimensionality Reduction?Dimensionality reduction is a technique used in machine learning to reduce the number of features or variables in a dataset without losing…Feb 25, 2023Feb 25, 2023
Kriti YadavTreating Outliers in Machine learningOutliers are data points that are significantly different from other data points in the dataset. They can occur due to measurement errors…Feb 22, 20231Feb 22, 20231
Kriti YadavL1 and L2 Regularization TechniquesThis blog will discuss the regularization technique: L1 and L2 Regularization. A regression model that uses L1 regularization is called…Feb 21, 2023Feb 21, 2023
Kriti YadavIntroduction to RegularizationRegularization is a set of techniques used in machine learning to prevent the overfitting of a model to the training data. Overfitting…Feb 19, 2023Feb 19, 2023
Kriti YadavFrequent Interview Questions on Logistics RegressionQ1. What is logistic regression, and how does it differ from linear regression?Feb 18, 2023Feb 18, 2023
Kriti YadavIntroduction to NLTK library in Python for NLPThe Natural Language Toolkit (NLTK) is a popular open-source library for natural language processing (NLP) in Python. It provides a wide…Feb 17, 2023Feb 17, 2023
Kriti YadavOverfitting and Underfitting in Machine LearningIf you are just a “newbie” in the field of Machine Learning, and you hear someone say “The model ain’t generalizing data well” Whoops! This…Feb 16, 2023Feb 16, 2023
Kriti YadavFrequent Interview Questions on k-NN AlgorithmQ.1 What is k-NN Algorithm?Feb 15, 20231Feb 15, 20231
Kriti YadavIntroduction to K-Nearest Neighbor(KNN) AlgorithmIf you’re familiar with machine learning and the basic algorithms that are used in the field, then you’ve probably heard of the k-nearest…Feb 14, 2023Feb 14, 2023
Kriti YadavLet’s talk about NumPy for Data SciencesNumPy is a popular library in Python that is widely used for scientific computing, data analysis, and data manipulation. It provides a…Feb 13, 2023Feb 13, 2023