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logistic-regression

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Bugss05 / IACD_Predicting_Hepatocellular_Carcinoma_through_SML

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Predicting Hepatocellular Carcinoma through Supervised Machine Learning

machine-learning random-forest machine-learning-algorithms artificial-intelligence supervised-learning logistic-regression decision-trees decision-tree-classifier artificial-intelligence-algorithms knn-classification random-forest-classifier hepatocellular-carcinoma logistic-regression-classifier streamlit
  • Updated May 23, 2024
  • HTML

sayande01 / AIDS_INFECTION_PREDICTION_MACHINE_LEARNING

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This project uses machine learning to predict AIDS virus infection with 95% accuracy. By applying logistic regression and random forest algorithms, it involves data preprocessing, feature selection, model training, and evaluation. Comparing these models will identify the most effective method, aiding in early detection and treatment strategies.

logistic-regression random-forest-classifier
  • Updated May 22, 2024
  • Jupyter Notebook

greyhatguy007 / Machine-Learning-Specialization-Coursera

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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

python machine-learning deep-learning neural-network solutions mooc tensorflow linear-regression coursera recommendation-system logistic-regression decision-trees unsupervised-learning andrew-ng supervised-machine-learning unsupervised-machine-learning coursera-assignment coursera-specialization andrew-ng-machine-learning
  • Updated May 22, 2024
  • Jupyter Notebook

tweichle / Predicting-Baseball-Statistics

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Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

python data-science machine-learning linear-regression exploratory-data-analysis cross-validation data-visualization supervised-learning xgboost logistic-regression regularization decision-trees predictive-modeling ridge-regression support-vector-machines elastic-net oversampling lasso-regression random-forests k-nearest-neighbors
  • Updated May 21, 2024
  • Jupyter Notebook

kamlesh-IY9 / Credit-Card-Transactions-Fraud-Detection-by-Afame-Technologies

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🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯

python security data-science machine-learning random-forest scikit-learn jupyter-notebook data-visualization classification logistic-regression fraud-detection creditcard-fraud model-deployment credit-card-fraud-detection financial-fraud fraud-analytics credit-card-fraud-detection-using-machine-learning fraud-detection-using-machine-learning
  • Updated May 21, 2024
  • Jupyter Notebook

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