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 models·14 min read·Nov 22, 2022--2--2

PinnedRukshan PramodithainTowards Data Science10 Amazing Machine Learning Visualizations You Should Know in 2023Yellowbrick for creating machine learning plots with less code·15 min read·Nov 5, 2022--5--5

PinnedRukshan PramodithainTowards Data Science23 Efficient Ways of Subsetting a Pandas DataFrame·10 min read·Jun 4, 2021--4--4

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 possible·14 min read·Apr 14, 2021--9--9

PinnedRukshan PramodithainTowards Data Science20 Necessary Requirements of a Perfect Laptop for Data Science and Machine Learning Tasks·7 min read·Jun 5, 2021--19--19

Rukshan PramodithainTowards Data ScienceIn-Depth Support Vector Machines (SVMs) for Linear & Non-linear Classification & RegressionA deeper understanding of how SVMs work behind the scenes·10 min read·5 days ago----

Rukshan PramodithaConvex vs Non-Convex Loss Functions in Machine Learning and OptimizationPlus concave functions!·4 min read·Apr 30, 2024----

Rukshan PramodithaData Preprocessing for K-Nearest Neighbors (KNN)Feature scaling and encoding·5 min read·Apr 14, 2024----

Rukshan PramodithaMeasuring Distance Between Data Points in Multidimensional Feature Space5 types of distance functions (measures) used in machine learning algorithms·6 min read·Apr 6, 2024----

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 evaluation·11 min read·Feb 27, 2024----