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amshrbo / nsfw-detection

Star 18

Nudity, violence and drugs detection using nudeNet for nudity, for violence and drugs detection I hyper-tuned mobilenet model on my own collected dataset, the final results is a python flask API that takes an image or a set of images, will return a score on how much it's suitable for work.

python keras transfer-learning flask-api nsfw data-augmentation mobilenet imagedatagenerator hypertuning nsfw-detection-api
  • Updated Jul 10, 2021
  • Jupyter Notebook

aj081 / Candidate-Status-Analysis

Star 0

One of the challenges faced by any IT company is about 30% of the candidates who accept the jobs offer do not join the company. This leads to huge loss of revenue and time as the companies initiate the recruitment process again to fill the workforce demand. This project builds a model can be used to predict the likelihood of a candidate joining …

python machine-learning random-forest exploratory-data-analysis gridsearchcv hypertuning logestic-regression
  • Updated Nov 23, 2021
  • Jupyter Notebook

805karansaini / AQI_Pre_v2

Star 1

AQI Predictor V2 use multiple Supervised Machine Learning with Hyper tuning. ML algorithms used Linear Regressor, Lasso Regressor, Decision Tree Regressor, Random Forest Regressor, XGboost Regressor. The Model deployed on web and can predict AQI visit https://aqipredictor.up.railway.app/

machine-learning deployment linear-regression ml supervised-learning lasso-regression developed xgboost-regression 3rd-year-project hypertuning randon-forest
  • Updated Nov 27, 2022
  • Python

DHwass / XGBoost-on-Home-Data-KAGGLE

Star 1

In this project, XGBoost is applied to forecast real estate prices using the Boston Housing Dataset. The primary aim is to create an effective predictive model, assess its accuracy through metrics like Mean Absolute Error (MAE), and refine its performance by tuning hyperparameters with HYPEROPT.

data-science machine-learning machine-learning-algorithms kaggle xgboost boston-housing-price-prediction kaggle-dataset xgboost-model xgboost-regression hypertuning
  • Updated Nov 26, 2023
  • Jupyter Notebook

KasiMuthuveerappan / LoanTap-LogisticRegression

Star 0

📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.

machine-learning numpy pandas seaborn confusion-matrix kfold-cross-validation sklearn-library precision-recall hypertuning sklearn-metrics
  • Updated May 27, 2024
  • Jupyter Notebook

Adyy7902 / Restaurant-Success-Prediction

Star 0

👩🏻‍🍳🍽️Restaurant Success Prediction using ML

machine-learning data-visualization sqlite3 outlier-detection restaurant feature-engineering feature-importance random-forest-classifier feature-encoding distplot hypertuning one-hot-encoding wordcloud-visualization grid-search-cross-validation success-prediction handling-outlier histplot data-cleaning-and-preprocessing model-building-and-evaluation randomised-search-cross-validation
  • Updated Sep 21, 2024
  • Jupyter Notebook

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