Consulting
Speaker
Bartosz Mikulski
Machine learning and deep learning
Featured
How to deal with underfitting and overfitting in deep learning
The lessons learned from Andrew Ng’s online course
A comprehensive guide to putting a machine learning model in production using Flask, Docker, and Kubernetes
How to use Docker and Flask to put a Scikit model in production as a microservice.
How to split a list inside a Dataframe cell into rows in Pandas
Step by step instructions to "explode" a list into DataFrame rows.
Monte Carlo simulation in Python
How to make business decisions using the Monte Carlo simulation?
All Stories
How to split a data frame into time-series for LSTM deep neural network
What is the difference between training, validation, and test sets in machine learning
Training a machine learning model is like learning before an exam.
Numpy reshape explained
How to use the reshape function in Numpy
Human bias in A/B testing
Underpowered tests, true negative, and ignored tests results
How to plot the decision trees from XGBoost classifier
Smoothing time series in Python using Savitzky–Golay filter
In this article, I will show you how to use the Savitzky-Golay filter in Python and show you how it works. To understand the Savitzky–Golay filter, you should be familiar...
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