Python-bloggers

Introduction A very common task in NLP is to define the similarity between documents. Usually, the metric is the Cosine ... Read moreHow to Find Similar Documents using N-grams and Word Embeddings

"R Python" continued... Strong random forests with XGBoost

It’s been over a month since our last post and for that we must apologize. We endeavor to be more prolific, but sometimes work and life get in the way. On the work front, let’s just say we won’t have to spend as much time selling encyclopedias ...

Intermediate SQL for Data Science Running data queries in the database can offer significant speed improvements over doing so in R or Python. There’s no need to drag the entire dataset to memory and run the calculations once the loading completes. The runtime differences can be drastic, depending on ...

Good news! In tandom with the loosening of lockdown restrictions, Jumping Rivers has released the updated 2021 public, online training course schedule. We are offering courses across multiple prog...

In this post, we will provide some techniques of how you can prevent overfitting in Neural Network when you work ... Read moreHow to Prevent Overfitting in Neural Networks with TensorFlow 2.0

In this tutorial we will show how you easily build a Convolutional Neural Network in Python and Tensorflow 2.0. We ... Read moreGet Started with Tensorflow 2.0 and CNN

In this post, we will provide some examples of what you can do with OpenCV. Blending Images in OpenCV We ... Read moreGet Started with OpenCV

With a little bit of time off I decided to explore the discord.py module again with trying to make some of my own Discord bots. The bot I decided to make is a simple stock/crypto ticker bot that tracks the live price of a stock/crypto that I ...

Beyond the least squares TLDR: an illustration of the minimal norm solution in Python.