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, 8 months ago
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 …
python - Incremental Learning with sklearn: warm_start, partial_fit ...
Answering my own question after some investigation: warm_start=True and calling .fit() sequentially should not be used for incremental learning on new datasets with potential concept drift. It simply …
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 …
machine learning - Manual Python Implementation of Stacking Model ...
Jan 2, 2025 · 1 I tried to build a Python class, CustomStackingClassifier (), to implement the Stacking method in ensemble machine learning. In this implementation, the output of the base classifiers is set …
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 - Interactive labeling/annotating of time series data ...
I have a data set of time series data. I'm looking for an annotation (or labeling) tool to visualize it and to be able to interactively add labels on it, in order to get annotated data that I can u...
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 …
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 …
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