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Pandas equivalent of 10 useful SQL queries

… or Pandas for SQL developers In case you don’t know, pandas is a python library for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. The name is derived Read more…

By Dorian, 2 yearsNovember 11, 2020 ago

Predicting survivors of Titanic with Machine Learning

Who will survive a shipwreck? We can use Machine Learning to answer such questions RMS Titanic was a British passenger liner operated by the White Star Line that sank in the North Atlantic Ocean in the early morning hours of Read more…

By Dorian, 2 yearsNovember 10, 2020 ago

Building a ResNet in Keras

Using Keras Functional API to construct a Residual Neural Network What is a Residual Neural Network? In principle, neural networks should get better results as they have more layers. A deeper network can learn anything a shallower version of itself Read more…

By Dorian, 2 yearsNovember 9, 2020 ago

Maximum Likelihood Classification

Implementing a Maximum Likelihood Classifier and using it to predict heart disease What is this thing about? The main idea of Maximum Likelihood Classification is to predict the class label y that maximizes the likelihood of our observed data x. We will consider x as Read more…

By Dorian, 2 yearsNovember 5, 2020 ago

Building a Sentiment Classifier using Scikit-Learn

Training a linear model to classify IMDb movie reviews as positive or negative Sentiment analysis, an important area in Natural Language Processing, is the process of automatically detecting affective states of text. Sentiment analysis is widely applied to voice-of-customer materials Read more…

By Dorian, 2 yearsNovember 3, 2020 ago

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