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Another Twitter sentiment analysis with Python — Part 8 (Dimensionality reduction: Chi2, PCA)

This is the 8th part of my ongoing Twitter sentiment analysis project. You can find the previous posts from the below links. Part 1: Data cleaning Part 2: EDA, Data visualisation Part 3: Zipf’s Law, Data visualisation Part 4: Feature extraction (count vectorizer), N-gram, confusion matrix Part 5: Feature extraction (Tfidf vectorizer), […]

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Supervised Machine Learning — Dimensional Reduction and Principal Component Analysis

Part 2 Supervised Machine Learning — Dimensional Reduction and Principal Component Analysis Special thanks to a dear friend of mine, Katharine, for inspiring this series. May the lessons learned in this series guide even the warmest of hearts. This article is part of a series. Check out Part 1 here. Introduction The motivation of […]