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Predict whether the tumor is benign or malignant using Logistic Regression. Can I add this?
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ML model to predict if a patient has breast cancer or not.
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Problem: "Error: kernel connection broken"
catboost version: 0.26
Operating System: Windows 10
CPU: Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz, 2592 Mhz
GPU: NVIDIA Quadro T1000
CUDA toolkit: 11.…
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The project will consist of-
1. Prediction on the type of Breast Cancer from properties of tumor.
2. Using different model classifiers on different training sets to find out the most accurate one.
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Can I include projects related to Data Analysis and ML in this?
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I'm trying to resume a raytune experiment after interruption. I'm using the following code
```
analysis = tune.run(
tune.with_parameters( xgboost_hyper_param,
…
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Hello,
I was able to train a clam_sb model on my own dataset for the classification task of breast cancer tumor _vs_ normal tissue and then was able to generate the heatmaps of some of the test sli…
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I've noticed that the dask version of `.inplace_predict()` creates a new dataframe in the mapped prediction function, but this function creates a new dataframe with the default index.
This makes it…
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## General evaluation
Really good visualizations and nice scoring model! The joint plots are a good addition to the notebook. The second heatmap with all of the variables is pretty hard to read and I…
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Hi again,
We recently shared the [project roadmap](https://github.com/scikit-mine/scikit-mine/discussions/115) from scikit-mine.
One of the algorithms we wanted to investigate is DiffNorm, but I g…