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rafaelgreca / e2e-mlops-project

Star 21

The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.

python machine-learning continuous-integration continuous-delivery end-to-end tabular-data multiclass-classification mlops pydantic fastapi loguru lightgbm-classifier evidentlyai obesity-classification
  • Updated Nov 30, 2024
  • HTML

edaaydinea / OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

Star 10

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

data-science machine-learning deep-neural-networks tensorflow neural-networks logistic-regression keras-neural-networks chi-square-test random-forest-classifier alzheimer-disease-prediction xgboost-classifier anova-test lightgbm-classifier catboost-classifier multi-layer-perceptron-classifier
  • Updated Nov 6, 2022
  • Jupyter Notebook

edaaydinea / OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

Star 9

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

data-science machine-learning deep-learning tensorflow neural-networks logistic-regression keras-neural-networks chi-square-test random-forest-classifier xgboost-classifier lightgbm-classifier smote-oversampler anova-analysis catboost-classifier multi-layer-perceptron-classifier
  • Updated Nov 6, 2022
  • Jupyter Notebook
Transformer-BERT-SMS-Spam-Detection

Tejas-TA / Transformer-BERT-SMS-Spam-Detection

Star 8

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

machine-learning natural-language-processing bag-of-words matplotlib confusion-matrix flask-api nlp-machine-learning stemming lemmatization scikitlearn-machine-learning multinomial-naive-bayes attention-is-all-you-need joblib bert-model tfidf-vectorizer tensorflow2 huggingface-transformers lightgbm-classifier roc-auc-curve spam-sms-detection
  • Updated May 1, 2023
  • Jupyter Notebook

grknc / Customer-Churn-Analyzer-with-ML

Star 6

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

prediction xgboost predictive-modeling random-forest-classifier customer-churn-prediction customer-churn xgboost-classifier lightgbm-classifier customer-churn-prediction-with-machine-learning
  • Updated Jan 23, 2024
  • Jupyter Notebook

NamrataThakur / Airbnb-New-User-Prediction

Star 5

The problem that this case study is dealing with predicts the location that a user is most likely to book for the first time. The accurate prediction helps to decrease the average time required to book by sharing more personalized recommendations and also in better forecasting of the demand. We use the browser’s session data as well as the user’…

machine-learning deployment random-forest airbnb eda kaggle-competition flask-api multiclass-classification xgboost-algorithm lightgbm-classifier
  • Updated Mar 30, 2021
  • Jupyter Notebook

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