Data Science

Clustering Wikipedia Hi, in this article i’ll make a simple clustering example using wikipedia. You can access full code, here: https://drive.google.com/drive/folders/1FKAqwAvaSmEt0jzL3lHu5qQGEcw4FQGS?usp=sharing # Perform the necessary imports from sklearn.decomposition import TruncatedSVD …

Dimension reduction with PCA   Dimension reduction represent the same data using less features and is vital for building machine learning pipelines using real-world data. PCA performs dimension reduction by …

Hello, in this article, we continue the topic Unsupervised Learning.  

t-SNE visualization of grain dataset I will make a short example about t-SNE in this article. from sklearn.manifold import TSNE import pandas as pd import numpy samples =[[15.26 , 14.84 …

What is gensim? Popular open-source NLP library Uses top academic models to perform complex tasks Building document or word vectors Performing topic identification and document comparison A word embedding or …

Why preprocess ? Helps make for better input data When performing machine learning or other statistical methods Examples: Tokenization to create a bag of words Lowercasting words Lemmetization/Stemming Shorten words …

Bag-of-words Bag of words is a very simple and basic method to finding topics in  a text. For bag of words, you need to first create tokens using tokenization, and …

Hi, we continue where we left off on Unsupervised Learning. I recommend that you read our previous article before moving on to this article. Evaluating a Clustering | Python Unsupervised …

Hi, In this article, we continue where we left off from the previous topic. If you haven’t read the previous article, you can find it here. k-means clustering | Python …

k-means clustering | Python Unsupervised Learning -1 In this series of articles, I will explain the topic of Unsupervised Learning and make examples of it. Unsupervised learning is a class …