python - What do x and y mean when working with data in the …
Dec 14, 2021 · What do x and y mean when working with data in the machine learning domain? Ask Question Asked 4 years, 1 month ago Modified 2 years, 7 months ago
machine learning - How to train ML model with multiple variables ...
Oct 2, 2018 · machine-learning python scikit-learn Improve this question edited Oct 2, 2018 at 0:41 The Lyrist
Python vs R for machine learning - Data Science Stack Exchange
Jun 12, 2014 · I'm just starting to develop a machine learning application for academic purposes. I'm currently using R and training myself in it. However, in a lot of places, I have seen people using …
Best practices to store Python machine learning models
What are the best practices to save, store, and share machine learning models? In Python, we generally store the binary representation of the model, using pickle or joblib.
machine learning - How do you visualize neural network architectures ...
Jan 22, 2018 · The Python package conx can visualize networks with activations with the function net.picture() to produce SVG, PNG, or PIL Images like this: Conx is built on Keras, and can read in …
python - Random state in machine learning models - Data Science …
Random state in machine learning models Ask Question Asked 7 years, 1 month ago Modified 6 years, 8 months ago
Fully-Configured Deep Learning Virtual Machines in Python (VirtualBox ...
Fully-Configured environment setup for Deep Learning Virtual Machines in Python (VirtualBox or VMware) Often when we start working on any new technology, the most common challenge that we …
machine learning - Clustering geo location coordinates (lat,long pairs ...
What is the right approach and clustering algorithm for geolocation clustering? I'm using the following code to cluster geolocation coordinates: import numpy as np import matplotlib.pyplot as plt...
python - How to apply machine learning model to new dataset - Data ...
I'm very new to machine learning & python in general and I'm trying to apply a Decision Tree Classifier to my dataset that I'm working on. I would like to use this model to predict the outcome after training …
Merging two datasets with different features for machine learning ...
Jun 4, 2022 · I'm trying to create a model which predicts Real estate prices with xgboost in machine learning, my question is : Can i combine two datasets to do it ? First dataset : 13 features Second …