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Apr 24, 2023 - Jupyter Notebook
supervised-classification-methods
Here are 34 public repositories matching this topic...
Uses Logistic Regression and various machine learning techniques to train and evaluate models with imbalanced classes applied to identify the creditworthiness of borrowers.
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Apr 8, 2022 - Jupyter Notebook
Combination of unsupervised clustering and supervised classification to detect shill bidding on eBay.
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Dec 31, 2020 - Jupyter Notebook
Machine learning. Analyzing the Reality Mining Data using supervised classifiers.
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Dec 20, 2019 - Jupyter Notebook
NLP on scientific articles to create the vector space model, and the information retrieval was realized using cosine similarity ranking.
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Jan 1, 2021 - Jupyter Notebook
Worked on Decision Trees, Random Forest,Gradient Boost Machines, XGBoost, lighgbm on Bank, boston, stat_oil, iris datasets
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Jun 11, 2023 - Jupyter Notebook
In this assignment, I will be building a machine learning model that attempts to predict whether a loan from LendingClub will become high risk or not.
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May 21, 2022 - Jupyter Notebook
A Supervised machine learning based topic modelling approach for yelp's real and fake reviews categorisation problem
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Nov 4, 2022
Customer churn prediction using various supervised classification algorithms.
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Sep 27, 2023 - Jupyter Notebook
IBM ML/AI Certification Projects Repo - EDA, Supervised ML
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Jun 26, 2024 - Jupyter Notebook
data science projects
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Aug 30, 2023 - Python
Efficient Learning of Minimax Risk Classifiers in High Dimensions
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Jul 20, 2023 - Python
Unbalanced data classification
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Jun 22, 2020 - Python
CSE Final Year Project. Heart Disease Prediction using Supervised Learning namely - Logistic Regression, Naive Bayes, K-NN, Decision Tree and Random Forest. The Porject is done in Python.
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May 17, 2019 - Jupyter Notebook
Applied Machine Learning projects includes: a supervised machine learning model to classify emails from the given dataset as spam and not-spam. 2.
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Aug 7, 2023 - HTML
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May 15, 2020 - MATLAB
This notebook tested the performance of the following scikit-learn models: Logistic Regression, Multilayer Perception, Naive Bayes, KNN, and Random Forest Classifier in classifying whether a person has thyroid or not based on the dataset provided. Each model’s performance has been evaluated using the F1 Score. NOTE: This notebook was used for a …
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Jun 7, 2023 - Jupyter Notebook
My first personal Machine Learning project: a supervised multi-class classification model focused on the creation of credit score classification for the financial sector.
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Apr 9, 2024 - Jupyter Notebook
Project from UVM CS fair. Collaborated with student Simon Pavlow.
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Jun 13, 2018 - Jupyter Notebook
flight delay prediction using XGboost classifier
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Dec 6, 2023 - Jupyter Notebook
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