Category: Python
Python tutorials
Machine Learning Deep Dive #1: Bayesian Decision Theory
Welcome to the first article of the “Machine Learning Deep Dive” biweekly series. Each article will consist of a theoretical summary based on Ethem Alpaydın’s Machine Learning book. For each method, there will be a separate GitHub repository containing sample codes and examples prepared from the scratch and/or using the open-source Python libraries. Wish you pleasant reading!
Read more
Twitter Sentiment Analysis
In this article, we will discuss how to implement sentiment analysis on a raw tweets dataset in python, find the polarity scores to classify the sentiments, and train a Long short-term memory (LSTM) and Convolutional Neural Network to predict the sentiment polarity and compare the results. Reference
Read more
Introduction to VECTOR EMBEDDING
VECTOR EMBEDDING : it’s a technique for learning numerical representations for token (word) that approximate their lexical meaning.these representations are learned by observed words in their context of occurrence in large volumes of data.
Read more
Predicting the outcome of the World Cup in 150 lines of Python
It seems like Machine learning and Deep Learning are everywhere these days. AI can do anything! From writing essays to cheat tests to generating to having an infinite image generating machine running on your local machine, the possibilities are endless. So it should come as no surprise that you can use deep learning to predict the outcome of major sports tournaments.
Read more