Python vs R for machine learning - Data Science Stack Exchange
Jun 12, 2014 · Some real important differences to consider when you are choosing R or Python over one another: Machine Learning has 2 phases. Model Building and Prediction phase. …
python - What do x and y mean when working with data in the …
Dec 14, 2021 · X and y. X is a matrix of the features values, each column being one feature, and being known values. Each column of X is an independant variable.
python - How to apply machine learning model to new dataset
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 …
Best practices to store Python machine learning models
Importing the model on another machine might not work if the python environment slightly differs. When pushing a model in production, I need 1) a version of the model that I can load fast in …
machine learning - Best python library for neural networks - Data ...
May 29, 2017 · PyLearn2 is generally considered the library of choice for neural networks and deep learning in python. It's designed for easy scientific experimentation rather than ease of …
python - How do I handle string feature while performing model ...
Feb 15, 2019 · The performance of a Machine Learning Model not only depends on the model and the hyperparameters but also on how we process and feed different types of variables* to …
machine learning - Automated feature selection packages
Feb 21, 2022 · I would like to know what are some of the automated feature selection packages available in python. Basically, as a data scientist, knowing this list of packages would help me …
python - Which machine learning model is best for a combination …
Oct 11, 2021 · What is the best machine learning model to predict a continuous variable where the predictors include categorical, numerical variables and a text? 1 Building a linear …
Machine learning mode retraining after getting new data
Aug 15, 2017 · I have trained a model for predicting the sale of items daily, such as daily car sales, with a machine learning model in Python. Now I get the new time real data (time series …
python - Incremental Learning with sklearn: warm_start, partial_fit ...
partial_fit on the other hand has an effect and can be used for incremental learning (especially for datasets too large to fit into memory and feeding in mini-batches). However, in datasets with …