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--20--20

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----

Rukshan Pramoditha12 Types of Non-Linear Dimensionality Reduction (NLDR) Techniques in Machine LearningA complete guide to manifold learning methods in unsupervised learning·11 min read·Feb 10, 2024--3--3

Rukshan PramodithaChoosing the Cut-off (Threshold) Value for Selecting the Important Features in a Random ForestThe right way to drop the least important features in a random forest model·4 min read·Jan 15, 2024--1--1

Rukshan PramodithaThe Intuition behind the Universal Approximation Theorem for Neural NetworksCan neural networks approximate any non-linear function?·3 min read·Dec 21, 2023----