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Rukshan Pramoditha

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Rukshan Pramoditha
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Towards Data Science

Addressing Overfitting 2023 Guide — 13 Methods

Your one-stop place to learn 13 effective methods to prevent overfitting in machine learning and deep learning models

14 min readNov 22, 2022

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Addressing Overfitting 2023 Guide — 13 Methods

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Rukshan Pramoditha
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Towards Data Science

10 Amazing Machine Learning Visualizations You Should Know in 2023

Yellowbrick for creating machine learning plots with less code

15 min readNov 5, 2022

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10 Amazing Machine Learning Visualizations You Should Know in 2023

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Rukshan Pramoditha
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Towards Data Science

23 Efficient Ways of Subsetting a Pandas DataFrame

10 min readJun 4, 2021

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23 Efficient Ways of Subsetting a Pandas DataFrame

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Rukshan Pramoditha
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Towards Data Science

11 Dimensionality reduction techniques you should know in 2021

Reduce the size of your dataset while keeping as much of the variation as possible

14 min readApr 14, 2021

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11 Dimensionality reduction techniques you should know in 2021

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Rukshan Pramoditha
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Towards Data Science

20 Necessary Requirements of a Perfect Laptop for Data Science and Machine Learning Tasks

7 min readJun 5, 2021

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20 Necessary Requirements of a Perfect Laptop for Data Science and Machine Learning Tasks

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Rukshan Pramoditha

Data Preprocessing for K-Nearest Neighbors (KNN)

Feature scaling and encoding

5 min read4 days ago

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Data Preprocessing for K-Nearest Neighbors (KNN)

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Rukshan Pramoditha

Measuring Distance Between Data Points in Multidimensional Feature Space

5 types of distance functions (measures) used in machine learning algorithms

6 min readApr 6, 2024

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Measuring Distance Between Data Points in Multidimensional Feature Space

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Rukshan Pramoditha
in
Towards Data Science

Choosing the Right Number of Neighbors (k) for the K-Nearest Neighbors (KNN) Algorithm

Six methods to measure the effect of the number of neighbors on KNN model evaluation

11 min readFeb 27, 2024

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Choosing the Right Number of Neighbors (k) for the K-Nearest Neighbors (KNN) Algorithm

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Rukshan Pramoditha

12 Types of Non-Linear Dimensionality Reduction (NLDR) Techniques in Machine Learning

A complete guide to manifold learning methods in unsupervised learning

11 min readFeb 10, 2024

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12 Types of Non-Linear Dimensionality Reduction (NLDR) Techniques in Machine Learning

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Rukshan Pramoditha

Choosing the Cut-off (Threshold) Value for Selecting the Important Features in a Random Forest

The right way to drop the least important features in a random forest model

4 min readJan 15, 2024

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Choosing the Cut-off (Threshold) Value for Selecting the Important Features in a Random Forest

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Rukshan Pramoditha

Rukshan Pramoditha

3,000,000+ Views | BSc in Stats | Top 50 Data Science, AI/ML Technical Writer on Medium | Data Science Masterclass: https://datasciencemasterclass.substack.com

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