Tag: scikit-learn

  • A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot

    A Comparison of Binary Classifiers for Enhanced ML/AI Breast Cancer Diagnostics – 1. Scikit-Plot

    The post compares binary classifiers in Scikit-Learn using the breast cancer dataset. It includes data analysis, ML preparation, learning curves, feature dominance, calibration curves, confusion matrix, ROC curve, precision-recall curve, KS statistic, cumulative gains, lift curves, PCA, and classification reports. Various models’ performances are compared with focus on key metrics and feature evaluations.

  • ML/AI Regression for Stock Prediction – AAPL Use Case

    The following is a set of steps intended for ML/AI regression to predict stock prices. The objective is to simulate available historical stock prices of $AAPL using the SciKit Learn library. 1. Install Yahoo finance library !pip install yfinance 2. Let’s call all dependencies that we will use for this exercise  import pandas as pd import…

  • Supervised ML/AI Breast Cancer Diagnostics – The Power of HealthTech

      Problem Breast cancer (BC) is the uncontrollable growth of malignant cells in the breasts [1]. BC is the most common cancer with the highest mortality rate. The exact cause of breast cancer is unknown, but some women have a higher risk than others. This includes women with a personal or family history of breast cancer and…