Top new questions this week:
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I am working on a ML model to be deployed in a product operating in many countries.
The issue that I am having is the following: should I
train one model and serve it for all countries?
train a model ...
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How can I make a one hot encoding for a unknown dataset which can iterate and check the dytype of the dataset and do one hot encoding by checking the number of unique values of the columns, also how ...
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I would like to better understand what a good Data Englineer must know or what he does. Job descriptions mostly list tools that are required, such as Python.
If it is possible to separate Data ...
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I fitted a logistic regression model on a data set and got an AUC score of .70.
I added some additional out-hot encoded categorical features to the model and the AUC improved slightly to .74.
How do I ...
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I read for example in this answer:
Does the performance of GBM methods profit from feature scaling?
that scaling doesn´t affect the performance of any tree-based method, not for ...
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My data is a group of 10 thousand points (each having an node location (x,y)) that are spread across a plane. They are also chromatically-colored based on their weight.
I need to finalize a bayesian ...
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Is it ok to use negatively correlated features in data modeling? Say I have features A and B that have a correlation coefficient of 0.2 and features C and D with -0.2 correlation coefficient, is it ...
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Greatest hits from previous weeks:
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In the MNIST For ML Beginners they define cross-entropy as
$$H_{y'} (y) := - \sum_{i} y_{i}' \log (y_i)$$
$y_i$ is the predicted probability value for class $i$ and $y_i'$ is the true probability ...
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I was watching Machine Learning A- Z from SuperDataScience but when I was doing below code sample:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dataset = ...
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I am trying to get the 'data' and the 'target' of the iris setosa database, but I can't. For example, when I load the iris setosa directly from sklearn datasets I get a good result:
Program:
from ...
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I have a dataset like the one below. I want to remove all characters after the character ©. How can I do that in R?
data_clean_phrase <- c("Copyright © The Society of Geomagnetism and Earth",
"© ...
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The model of linear regression is linear in parameters.
What does this actually mean?
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i have two DataFrames(Action,Comedy). Action contains two columns(year,rating) ratings columns contains average rating with respect to year.
Comedy Dataframe contains same two columns with different ...
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I am trying to apply a basic use of the scikitlearn KMeans Clustering package, to create different clusters that I could use to identify a certain activity. For example, in my dataset below, I have ...
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Can you answer these questions?
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I'm working on a cluster analysis project and was trying out different ways to plot clusters to explain the differences between the clusters. I did plot the different clusters in 2D. Can you please ...
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In a binary classification problem, it is easy to find the optimal threshold (F1) by setting different thresholds, evaluating them and picking the one with the highest F1. Similarly is there a proper ...
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I designed a neural network model with large number of output predicted by softmax function. However, I want categorize all the outputs into 5 outputs without modifying the architecture of other ...
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