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Projects in Awesome Lists tagged with sklearn-metrics
A curated list of projects in awesome lists tagged with sklearn-metrics .
https://github.com/abeed04/hotel-bookings-prediction-using-machine-learning
Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.
flask numpy pandas-dataframe pickle-file pycharm-ide python randomforestalgorithm sklearn-library sklearn-metrics
Last synced: 26 Sep 2024
https://github.com/kamakshi4023/brain-tumour-detection
ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images
jupyter-notebook keras machine-learning ml numpy python seaborn sklearn sklearn-metrics tensorflow
Last synced: 26 Sep 2024
https://github.com/sevilaymuni/multivariate-timeseries-forecast-lstm-apple-google-stocks
Complete guide to create robust LSTM models for forecasting stock price
deep-learning forecasting-models gridsearchcv keras lstm-neural-networks machine-learning rnn-lstm sklearn-metrics stock-market tensorflow visualization
Last synced: 25 Sep 2024
https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
Last synced: 26 Sep 2024
https://github.com/abeed04/bank-credit-risk-model-using-machine-learning
Robust credit risk model that go beyond traditional credit scoring methods in banks
decision-tree-classifier flask machine-learning-algorithms pickle-file pycharm python sklearn sklearn-metrics
Last synced: 26 Sep 2024
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 26 Sep 2024
https://github.com/deepak-1710/early_brain_stroke_prediction
This repository contains a Deep Learning model using Convolutional Neural Networks (CNN) for predicting strokes from CT scans. The model aims to assist in early detection and intervention of strokes, potentially saving lives and improving patient outcomes.
cnn-classification data-visualization deep-learning flask-application html-css-javascript keras lstm-neural-networks machine-learning-algorithms matplotlib-pyplot neural-network python sklearn-metrics tensorflow
Last synced: 25 Sep 2024
