Madhuri PatilinStackademicPandas: Mitigating Challenges of Working with Large DatasetsPandas is an excellent Python library for data manipulation and analysis. It is frequently utilized in Machine Learning projects to enhance…Mar 19Mar 19
Madhuri PatilThe Roles of Data Sets in Machine Learning Projects: A Guide to Data SplittingA common problem we face is how to split data for analysis. Should we do it before or after we look at the data?Jan 3Jan 3
Madhuri PatilKNN Classifier Optimization: Best Practices and Tips (PART II)In the previous article, we implement the k-nearest neighbors (KNN) algorithm using scikit-learn library. We also learned the effect of…Nov 20, 2023Nov 20, 2023
Madhuri PatilKNN Classifier Implementation: Best Practices and Tips (PART I)KNN or k-nearest neighbors is a simple, yet powerful machine learning algorithm used for classification and regression tasks.Nov 18, 2023Nov 18, 2023
Madhuri PatilSignificance of k-Nearest Neighbors in Machine LearningMachine learning is a rapidly evolving field with heaps of algorithms, each designed to tackle specific problems and data types. In this…Nov 2, 2023Nov 2, 2023
Madhuri Patil#7 | Bayesian Inference | 7-Days of Statistics for Data ScienceHello and Welcome to 7 days of statistics for data science series. This is the last article in the series. In this article, you will learn…Oct 3, 2023Oct 3, 2023
Madhuri Patil#6 | Probability Distribution| 7-Days of Statistics for Data ScienceHello, Welcome to 7 days of statistics for data science series. This article is part of the series and it is sixth article. In this…Sep 27, 2023Sep 27, 2023
Madhuri Patil#5 | Hypothesis Testing & P-values | 7-Days of Statistics for Data ScienceHey, This article is part of series called—7 days of statistics for data science and this is fifth article in our series. In this article…Sep 24, 2023Sep 24, 2023