Captcha Bypass using GPT4-o

Python 3 package for easy integration with the API of capsolver captcha solving service to solver recaptcha, geetest and solve any other captchas. Capsolver.

This Python script demonstrates the Shi-Tomasi corner detection method using OpenCV. Shi-Tomasi corner detection is a feature detection technique that identifies distinctive points or corners in an…

A python script that can automatically scrape other people followers on instagram and save them in a txt file.

Generating Anime Faces with DCGAN: A Dataset of High-Quality Anime

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

This repository contains the code for a K-Nearest Neighbors (KNN) model built to classify customer segments in Türkiye using the teleCust1000T dataset. The project includes data cleaning, visualiza…

This project involves a drug recommendation system based on patients' demographic characteristics. The dataset includes characteristics such as age, gender, blood pressure (BP), cholesterol level a…

Python code predicts real estate prices using Decision Tree Regression on features like bedrooms, square footage, and location. Well-documented and beginner-friendly for learning about real estate …

A project that uses Random Forest for descriptive breast cancer diagnosis, classifying breast tumors as malignant or benign.

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

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

Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered

Breast cancer classification using Decision Tree. Practice machine learning skills. Achieve 90.6% accuracy. Informative project for ML enthusiasts.

"Decision tree regression applied to ticket pricing. Visualized scatter data points and regression line

This Python script employs a Random Forest Regressor to predict prices based on 'Grandstand Level.' It's versatile and delivers accurate results.

Applying Polynomial Regression to Improve Predictive Accuracy in Nonlinear Data Modeling, achieving more accurate results

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…

A Python code for data analysis and salary predictions using a multiple linear regression model. The code calculates the intercept and coefficients of the model and makes predictions on sample data.

This Python code employs OpenCV for efficient line detection in an image. It reads, processes, and visualizes lines, making it a valuable tool for computer vision applications.

This Python code represents a machine learning project that builds a simple linear regression model using experience and salary data. It plots the data, constructs the regression model, and visuali…

This Python code utilizes OpenCV to detect and draw circles in an image. It applies grayscale conversion and median blur to reduce noise, then employs the Hough Circle Transform for circle detectio…

This script demonstrates three essential image thresholding techniques: global thresholding, adaptive mean thresholding, and adaptive Gaussian thresholding, aiding image analysis and segmentation i…

Contours and Convex Hull are crucial concepts in computer vision. Contours outline object boundaries in images, while Convex Hull simplifies shapes for efficient analysis and object recognition.

Here we will process the visual tracking of an object determined by color contours and differences. In the video used here, we will create a visual tracking of a dog that is different from the gene…

The OpenCv TrackBar application is shown here

There is a review and application of the methods of Detection Operations

Here the videos were edited with the OpenCv library

Making cancer classification with knn module (Kaggle Expression)

Creating a logistic regression algorithm without using a library and making cancer classification with this algorithm model (Kaggle Explained)