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**Summary**
The paper examines cherry blossom bloom timing in Japan through a dual-model approach. The first model predicts bloom duration based on temperature, while the second estimates temperatu…
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**Summary**
The paper "Predicting Sakura Florescence in Japan with a Dual-Model Approach" develops two predictive models to estimate cherry blossom bloom duration based on temperature (Model 1) and…
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## What is the notebook about?
This notebook introduces the use of unsupervised learning on synthetic aperture radar (SAR) data for sea ice classification. In particular, we are intereste…
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This project involves predicting the duration of NYC taxi trips using various regression models. The notebook includes steps for data exploration, preprocessing, model training, and evaluation.
## …
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I am having problems using `KernelExplainer` with scikit-learn's `svm.SVR` regressor, and passing the `best_estimator_` to the explainer after `GridSearchCV`.
I've noticed other issues: i.e. [147](…
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### Overview
The objective of this project is to predict the volatility of Yahoo's stock prices using historical data. The dataset contains various features including opening price, closing price, ad…
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Title: Jupyter Notebook for Data Visualization
Body:
Dear contributors,
We are currently interested in exploring our dataset more intensively. To do this, we require a Jupyter Notebook populated w…
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## What is the notebook about?
This notebook will explore the capabilities of the [DeepForest](https://deepforest.readthedocs.io/en/latest/index.html) package. In particular, it will demonstrate how …
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Task: Perform initial data cleaning, including handling missing values (if any), normalizing text (lowercasing, removing punctuation, etc.), and preliminary data exploration (e.g., distribution of cla…
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Project Title : Heart Disease Prediction using Machine Learning(DL)
Aim: Compare neural network and random forest algorithms to determine the best model for heart disease prediction using accuracy …