Noor FatimaUnderstanding Probability Distribution: Definition, Advantages, and ParametersIntroduction to Probability Distribution3d ago3d ago
Noor FatimaUnderstanding Covariance: Relationship Between Two VariablesCovariance is a fundamental statistical concept used to measure the relationship between two variables. It tells us whether the variables…3d ago3d ago
Noor FatimaUnderstanding Measures of Dispersion: Range, Variance, Standard Deviation, and Coefficient of…In statistics, measures of dispersion quantify how spread out or dispersed a set of data points are around their central tendency. They…4d ago4d ago
Noor FatimaMeasures of Central Tendency: Mean, Median, Mode, Weighted Mean, and Trimmed MeanMeasures of central tendency are statistical metrics that describe the center point or typical value of a dataset. They provide a summary…6d ago6d ago
Noor FatimaStatistics for Machine Learning: Types of Statistics, Population vs. Sample, and Types of DataStatistics is a crucial element of machine learning (ML) as it provides the tools and methods needed to collect, analyze, interpret, and…6d ago6d ago
Noor FatimaUnderstanding Tensors in Machine Learning: From 0D to 5DTensors are a fundamental concept in machine learning, used to represent data and perform computations. This article explains 0 to…Jul 3Jul 3
Noor FatimaOutliers detection and removal using IQR MethodOutliers can significantly skew the results of data analysis and machine learning models. Identifying and handling outliers is crucial for…Jul 3Jul 3
Noor FatimaOutlier Detection and Removal Using Z-score MethodOutliers can significantly affect the performance of machine learning models. Detecting and treating outliers is crucial to ensure the…Jul 2Jul 2
Noor FatimaAlgorithms Sensitive to Outliers and How to Handle ThemOutliers are data points that deviate significantly from other observations. They can skew and distort the results of various machine…Jul 2Jul 2
