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# Enhancement: Add Uncertainty Metric to Naive Bayes Classifier
## Description
To improve the reliability and interpretability of our Naive Bayes classifier, we should implement an uncertainty met…
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Experiment and Implement classification models -
1. Decision Tree
2. Random Forest
3. Logistic Regression
4. Naive Bayes models.
Evaluate and compare models on metrics (accuracy, precision, …
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This issue is to implement the Naive Bayes algorithm in Python. The algorithm will be used to predict the probability of an event based on prior knowledge of conditions that might be related to the ev…
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In the movie_list page implement tags that contains the genre of the movie. Don't make the user the tags manually . The tags can also be color coded.
Use natural language processing (NLP) techniques…
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I want to work on this issue.
Aim - It will classify given text into different news groups like politics, space, religious etc.
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# Import necessary libraries
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import Multin…
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### Describe the workflow you want to enable
Currently, Scikit-learn's LinearDiscriminantAnalysis (LDA) classifier does not support incremental learning through the partial_fit method. This poses c…
wcscr updated
3 weeks ago
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
### Machine Learning Algorithms for GitHub Feature Request
1. *Linear Regression*: Pred…
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Currently we wrap NaiveBayes.jl, but only allow tabular input (internally converted to matrix) which limits application to NLP and elsewhere. However NaiveBayes.jl itself supports dictionary input.
…
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:red_circle: **Title** : Text Classification for Spam Detection
:red_circle: **Aim** : Create a text classification system to detect spam messages using machine learning techniques.
:red_circle:…