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1. Sign-Language-Classification-Tutorial Sign-Language-Classification-Tutorial Public

   This project utilizes logistic regression to classify numbers 0 and 1 using sign language gestures. It successfully achieves the task of sign language classification, reaching a test accuracy of 93…

   Jupyter Notebook 1

2. Kaggle-Notebook-Cancer-Prediction-ACC96.5-With-Logistic-Regression Kaggle-Notebook-Cancer-Prediction-ACC96.5-With-Logistic-Regression Public

   Logistic Regression for Cancer Data Classification: Achieve 96.50% accuracy in benign vs. malignant cell classification.

   Jupyter Notebook 1

3. Kaggle-Prediction-Cancer-Data-With-K-NN-Acc-95 Kaggle-Prediction-Cancer-Data-With-K-NN-Acc-95 Public

   Utilize K-Nearest Neighbors (K-NN) for precise benign and malignant cancer cell classification in our Cancer Data Classification project.

   Jupyter Notebook 1

4. Lane-Tracking-App Lane-Tracking-App Public

   The project that enables to identify and follow the yellow tracking lanes at the corners of the highways

   Python 1

5. Breast-Cancer-SVM Breast-Cancer-SVM Public

   Breast Cancer Diagnosis using SVM: A Python project for classifying tumors as malignant or benign based on tumor features with a Support Vector Machine.

   Python 1

6. Iris-Data-PCA-Exploration Iris-Data-PCA-Exploration Public

   This project is a demo that applies PCA (Principal Component Analysis) analysis on the Iris dataset using Python and the Scikit-learn library. PCA is utilized to reduce high-dimensional data to low…

   Python