PinnedRukshan PramodithainTowards Data ScienceAddressing Overfitting 2023 Guide — 13 MethodsYour one-stop place to learn 13 effective methods to prevent overfitting in machine learning and deep learning modelsNov 22, 20222Nov 22, 20222

PinnedRukshan PramodithainTowards Data Science10 Amazing Machine Learning Visualizations You Should Know in 2023Yellowbrick for creating machine learning plots with less codeNov 5, 20225Nov 5, 20225

PinnedRukshan PramodithainTowards Data Science23 Efficient Ways of Subsetting a Pandas DataFrameJun 4, 20214Jun 4, 20214

PinnedRukshan PramodithainTowards Data Science11 Dimensionality reduction techniques you should know in 2021Reduce the size of your dataset while keeping as much of the variation as possibleApr 14, 20219Apr 14, 20219

PinnedRukshan PramodithainTowards Data Science20 Necessary Requirements of a Perfect Laptop for Data Science and Machine Learning TasksJun 5, 202119Jun 5, 202119

Rukshan PramodithainTowards Data ScienceIn-Depth Support Vector Machines (SVMs) for Linear & Non-linear Classification & RegressionA deeper understanding of how SVMs work behind the scenes5d ago5d ago

Rukshan PramodithaConvex vs Non-Convex Loss Functions in Machine Learning and OptimizationPlus concave functions!Apr 30Apr 30

Rukshan PramodithaData Preprocessing for K-Nearest Neighbors (KNN)Feature scaling and encodingApr 14Apr 14

Rukshan PramodithaMeasuring Distance Between Data Points in Multidimensional Feature Space5 types of distance functions (measures) used in machine learning algorithmsApr 6Apr 6

Rukshan PramodithainTowards Data ScienceChoosing the Right Number of Neighbors (k) for the K-Nearest Neighbors (KNN) AlgorithmSix methods to measure the effect of the number of neighbors on KNN model evaluationFeb 27Feb 27