Training a digit recognizer using PyTorch, and inferencing on CPU with ONNX Runtime
In any machine learning problem, the goal of our neural network is to do well on the new unseen data, training a deep learning model helps to achieve this goal. We have to focus...
Using Machine Learning In Brain-Computer Interfaces
Neurotech is a cutting-edge field that’s just beginning to come into its stride. With all of the technological advancements in the past decade, the cost of some equipment has decreased allowing more facilities to...
Anomaly Detection Use Case: Credit Card fraud detection
The fraudster’s greatest liability is the certainty that the fraud is too clever to be detected. — Louis J. Freeh
The fact is that fraudulent transactions are rare; they represent a diminutive fraction of activity...
Introduction to Time Series Forecasting of Stock Prices with Python
In this simple tutorial, we will have a look at applying a time series model to stock prices. More specifically, a non-seasonal ARIMA model. We implement a grid search to select the optimal parameters...
Simulating Popular Distributions in Python
Interest in machine learning and data science has been growing at a rapid rate in recent years. More and more students are enrolling in online data sciences courses that are great at teaching them...
Scraping an E-Commerce Website Made Simple
The obvious question that comes to the mind of a person who is new to the field of data science would be what data scraping exactly is? Even I used to ask the same...
How do Regression Trees Work?
Previously we spoke about decision trees and how they could be used in classification problems. Now we shift our focus onto regression trees. Regression trees are different in that they aim to predict an...
