PinnedAarish AlamUnderstanding Different Types of Graphs and Charts in Data VisualizationData visualization is a crucial aspect of data science that helps in understanding and communicating data effectively. Using the right type…Jun 12Jun 12
PinnedAarish AlamUnderstanding the Difference Between Bagging and Random ForestIntroduction:Jun 10Jun 10
Aarish AlamThree Methods for Making Predictions in PyTorchWhen working with machine learning models in PyTorch, making predictions is a crucial step, especially when your model is trained and ready…Just nowJust now
Aarish AlamA Deep Dive into Multiclass and Multilabel ClassificationWhen tackling machine learning problems, classification is a fundamental task that often arises. Among the various forms of classification…Aug 9Aug 9
Aarish AlamUnderstanding P-Values, Hypothesis Testing, and Alpha LevelsHello let’s understand the concepts of p-values, hypothesis testing, and alpha levels. These concepts form the backbone of inferential…Jun 30Jun 30
Aarish AlamExploring Different Encoding Techniques in Machine LearningMachine learning models thrive on numerical data. However, real-world data often comes in various forms, including categorical variables…Jun 23Jun 23
Aarish AlamUnderstanding Overfitting, Underfitting, and Learning Curves in Machine LearningIn machine learning, achieving the perfect model is a balancing act. Models need to be trained effectively to generalize well on unseen…Jun 15Jun 15
Aarish AlamCorrelation Is Not Equal to Causation: Understanding the DifferenceIn today’s data-driven world, it is common to encounter claims linking two variables. You might read a headline that says, “Eating more…Jun 15Jun 15
Aarish AlamNLP Preprocessing TechniquesHere i talked about the nlp preprocessing techniques.Jun 5Jun 5
Aarish AlamAssumptions of Linear RegressionLet’s discuss some basic assumption of linear regression.May 12May 12