All Questions
1,697 questions
-2
votes
1
answer
80
views
Dummy Variable as Boolean rather than Integer [closed]
I'm working on a machine learning project in Python. Using pandas pd.get_dummies I'm trying to create dummy variables for a categorical column in my data but the variables are being converted to ...
-1
votes
1
answer
79
views
How can I achieve accurate imputation of missing values in a dataset?
I'm working with a dataset containing details about used cars, and I've encountered several missing values in the Fuel_Type column. The possible values include 'Gasoline', 'E85 Flex Fuel', 'Hybrid', '...
-1
votes
1
answer
56
views
KeyError when using array as feature in language detection
I am following this tutorial for language detection using machine learning. In the dataset I am using, however, there are multiple variables as features. I tried, in the place of X = data["Text&...
- 111
0
votes
1
answer
76
views
How to make Isolation Forest detect anomaly at the peak of the difference, instead of the first value seen
I am using Isolation Forest to identify anomalies in a very large data frame. The data is noisy, so I have conducted many filtering operations to smooth out the noise so that the true anomalies ...
1
vote
1
answer
1k
views
Write data directly to blob storage from an Azure Machine Learning Studio notebook
I'm working on some interactive development in an Azure Machine Learning notebook and I'd like to save some data directly from a pandas DataFrame to a csv file in my default connected blob storage ...
0
votes
0
answers
63
views
Low Validation and Test Accuracy with Random Forest on ECG Data
I'm working on a project involving ECG data classification using a Random Forest model. Unfortunately, my model's performance is significantly lower than expected, and I'm struggling to understand why....
0
votes
0
answers
54
views
How to convert Xarray Dataset to a Darts Time Series
I have an Xarray dataset object with lat/lon/time coordinates This is a map of climate data. I want to convert this to an Darts TimeSeries object in order to train models on it. There is a function to ...
1
vote
0
answers
83
views
How to save and load TensorFlow Decision forest model for incremental learning?
I am developing TensorFlow decision forest regression model for incremental learning, So I have developed the model and have saved the model. When I retrain with new data the error is coming like &...
0
votes
0
answers
85
views
Problems with custom dataset using Minirocket classification
I'm working on a bigger school project, trying to classify timeseries measurements with Minirocket/Rocket. My trainingdata consists of a 1D matrix containing the measurements, and a seperate 1D matrix ...
- 1
0
votes
0
answers
45
views
How to use standardscaler() for the predict() function for a single row having multiple columns?
I am trying to build a house price prediction system. Data has outliers and is non-gaussian and for target feature y, log transform is used. I have used StandardScaler() to fit for my model before ...
1
vote
1
answer
328
views
How does prediction for Ordered logit regression work?
I am learning about Ordered logit regression and I was wondering how the prediction works mathematically and how can I do it in python by myself. I know that in python i can just simply use predict ...
- 13
0
votes
0
answers
46
views
how to label a multicolumn, multi category dataset and save it to a CSV or Parquet and train it using SVM
I am working with audio classification using OPENSMILE library. After preprocessing the audio data i am getting a 800x25 shaped data which is just for one file (each files is around 15 seconds long)
...
- 60
-1
votes
2
answers
72
views
How can I improve the RMSE in my car price estimate?
How can I improve the RMSE in my car price estimate?
First, I will fill in the missing condition values by estimating it based on the number of kilometers driven.
`
new_condition_df = df[df['...
- 277
0
votes
0
answers
83
views
MACHINE LEARNING : numpy , issue dealing with NaN values
ISSUE: Dealing with Nan values
I have tried replacing the Nan values with 0 to test if it would output anything. However , even with zeros filling the Nan slots the MSE returns Nan which makes me ...
- 37
0
votes
1
answer
165
views
LogisticRegression model producing 100 percent accuracy
I have fetched Amazon Reviews for a product and now trying to train a logistic regression model on it to categorize customer reviews. It gives 100 percent accuracy. I am unable to understand the issue....
- 1,357