Machine Learning lectures
by MLexplained
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1 year ago
Machine Learning Lecture 3: working with text + nearest neighbor classification
We continue our work with sentiment analysis from Lecture 2. I go over common ways of preprocessing text in Machine Learning: n-grams, stemming, st...
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1 year ago
Machine Learning Lecture 2: Sentiment Analysis (text classification)
In this video we work on an actual sentiment analysis dataset (which is an instance of text classification), for which I also provide Python code (...
MLexplained
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1 year ago
Machine Learning Lecture 2: Sentiment Analysis (text classification)
In this video we work on an actual sentiment analysis dataset (which is an instance of text classification), for which I also provide Python code (...
MLexplained
uploaded
1 year ago
Machine Learning Lecture 1: Introduction
This will be a series of lectures on the subject of Machine Learning. The target audience are people who are not in this area of research, but are ...
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Thanks! You might find it hard to do much better than 80%, it's a difficult dataset. You might tweak and tweak and tweak and get up to 85% if you tweak enough, but then you'd just be overfitting the test set. We'll talk about what that means later, but basically, you'd find that if you run that s...