Thing being covered: Data exploration, text classification, imbalance data, various metrics

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Despite recent exciting progress in Deep Learning around NLP, I want to show how simple classifiers can achieve moderate accuracy. This is a good thing because training these classifiers dose not require lots of data and computations, which is the case in training deep neural networks.

In this blog post…

Things to be covered: data pre-processing, data-visualization.

You can click the link at the bottom of this page to see the full code in the Jupyter Notebook.

Modified image from, FANDOM


We explore the data about death rates from the five leading causes in America.

A report from the dataset page says as follows…

I am going to describe 4 steps for performing Unsupervised Learning.

(Things to be covered: data exploration, data preprocessing, PCA, k-means, t-SNE)

Credit to (I modified a few .)

will be used.

The dataset contains 150 samples, each…

image credit:

has gained great attention from people working in Machine Learning. Elon Musk worried about the progress of AI research😰. On the other hand, Mark Zuckerberg has on AI🤗. …

kenta suzuki

Student interested in technology and arts. LinkedIn

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