NANDINI VERMAFaith, Patience, and Python: My Journey to Becoming a Data ScientistI want to share something exciting with you. It has been three weeks since I joined GSI as a Data Scientist. Is it a dream? No, it’s…May 27May 27
NANDINI VERMAinGoPenAIUnderstanding the Foundations of Machine Learning: Data, Model, Objective Function, and Gradient…Before moving to the gradient descent algorithm in ML let’s explore training an algorithm. Training an algorithm of ML involves four…Jan 25Jan 25
NANDINI VERMAinGoPenAINavigating Model Performance: Understanding the Confusion Matrix in Machine LearningA confusion matrix is a performance measurement tool used in machine learning and classification problems to assess the accuracy of a…Dec 15, 2023Dec 15, 2023
NANDINI VERMAinGoPenAIComprehensive Overview of Hierarchical Clustering: Agglomerative and Divisive Approaches…Hierarchical clustering is a method of cluster analysis that builds a hierarchy of clusters. This technique can be visualized as a…Dec 14, 2023Dec 14, 2023
NANDINI VERMAinGoPenAIMarket Segmentation with cluster AnalysisImport the relevant librariesDec 13, 2023Dec 13, 2023
NANDINI VERMAinGoPenAIOptimizing K-Means Clustering: A Guide to Using the Elbow Method for Determining the Number of…K-means clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into K clusters. Each cluster is…Dec 12, 2023Dec 12, 2023
NANDINI VERMAUnraveling Patterns: A Comprehensive Guide to Clustering Algorithms in Machine LearningClustering analysis- Cluster analysis is a multivariate statistical technique that groups observations on the basis some of their features…Dec 11, 2023Dec 11, 2023
NANDINI VERMAUnderstanding and Implementing Gaussian Naive Bayes Classification with PythonNaive Bayes is a probabilistic machine learning algorithm that is based on Bayes’ theorem. It is primarily used for classification tasks…Dec 5, 2023Dec 5, 2023
NANDINI VERMADecision Tree Classifier for Iris Flower Species PredictionA decision tree is a tree-like model used in machine learning and decision analysis to visually and explicitly represent decisions and…Dec 3, 2023Dec 3, 2023
NANDINI VERMASupport Vector Machines: Optimizing Margin for ClassificationA Support Vector Machine (SVM) is a supervised machine learning algorithm that can be used for both classification and regression tasks…Dec 2, 2023Dec 2, 2023