Prometheussx/Machine-Learning Prometheussx/Machine-Learning

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    Python
  • Created almost 2 years ago
  • Updated almost 2 years ago
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Prometheussx/Machine-Learning
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Repository Details

Here are the Machine Learning structures

More Repositories

1

Corner-Detection-Method

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 image. It is often used in computer vision applications for tasks like feature matching, object tracking, and image stitching.
Python
3
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2

Face-Detection-And-Sketching

Face detection and sketching
Python
2
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3

Hough-Circle

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 detection. Detected circles are highlighted in red on the image.
Python
2
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4

Multiply-Linear-Regression

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.
Python
2
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5

Cancer_Data_Classification_LogisticRegression

Creating a logistic regression algorithm without using a library and making cancer classification with this algorithm model (Kaggle Explained)
Python
2
star
6

Dicord-Bot

Dicord Bot
Python
1
star
7

Python-Mini-Projects

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1
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8

Real-Time-Shape-Detection

Multiplex identification program on webcam by changing HSV settings with OpenCv
Python
1
star
9

Linear-Regression

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 visualizes the results.
Python
1
star
10

OpenCv-Tracbar-Code

The OpenCv TrackBar application is shown here
Python
1
star
11

Polynomial-Linear-Regression

Applying Polynomial Regression to Improve Predictive Accuracy in Nonlinear Data Modeling, achieving more accurate results
Python
1
star
12

Random-Forest-Grandstand-Price

This Python script employs a Random Forest Regressor to predict prices based on 'Grandstand Level.' It's versatile and delivers accurate results.
Python
1
star
13

Breast-Cancer-SVM

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
star
14

Decision-Tree-Regression-Grandstand-Price

"Decision tree regression applied to ticket pricing. Visualized scatter data points and regression line
Python
1
star
15

Breast-Cancer-RF-Classification

A project that uses Random Forest for descriptive breast cancer diagnosis, classifying breast tumors as malignant or benign.
Python
1
star
16

Contours-Convex-Hull

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.
Python
1
star
17

Cancer_Classification_NaiveBayes

Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered
Python
1
star
18

OpenCV-Projects

Lesson and Project Notes for OpenCv Library From Beginner to Difficult Level
Python
1
star
19

OpenCv-video-processing-Code

Here the videos were edited with the OpenCv library
Python
1
star
20

Detection-Processes

There is a review and application of the methods of Detection Operations
Python
1
star
21

Voice-Asisstant

Python voice assistant
Python
1
star
22

Prometheussx

1
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23

Predicting_Median_Home_Values_in_Boston_with_Regression_Trees

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 price prediction.
Python
1
star
24

Circle-Detection

Identifying and marking circles in images with OpenCv
Python
1
star
25

Lane-Tracking-App

The project that enables to identify and follow the yellow tracking lanes at the corners of the highways
Python
1
star
26

Machine-Learning-Notes-Py

Beginner and Advanced Machine Learning Notes
Python
1
star
27

Object-Oriented-Programming-Notes-Py

Object Oriented Programming Notes Py
Python
1
star
28

Classification-Cancer-Data-With-K-NN

Making cancer classification with knn module (Kaggle Expression)
Python
1
star
29

shape-detection

Determines Polygons According to the Number of Edges with OpenCV
Python
1
star
30

Real_Time_HSV_Object_Detection

this structure allows us to separate the object colors from the photo and make object separation thanks to the masking of HSV colors with trackbar values
Python
1
star
31

Cancer-Classification-DecisionTree

Breast cancer classification using Decision Tree. Practice machine learning skills. Achieve 90.6% accuracy. Informative project for ML enthusiasts.
Python
1
star
32

Sign-Language-Classification-Tutorial

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 93.54%.
Jupyter Notebook
1
star
33

Thresholding-Methods

This script demonstrates three essential image thresholding techniques: global thresholding, adaptive mean thresholding, and adaptive Gaussian thresholding, aiding image analysis and segmentation in your projects.
Python
1
star
34

OpenCV-Line-Detection-Project

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.
Python
1
star
35

Kaggle-Prediction-Cancer-Data-With-K-NN-Acc-95

Utilize K-Nearest Neighbors (K-NN) for precise benign and malignant cancer cell classification in our Cancer Data Classification project.
Jupyter Notebook
1
star
36

knn-customer-segmentation

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, visualization, feature scaling, model training, and evaluation with accuracy metrics.
Python
1
star
37

Patient-Profile-Based-Medication-Recommendation-System-Decision-Tree-Analysis

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 and sodium-potassium ratio. The project involves building a decision tree using `DecisionTreeClassifier` and making drug recommendations using this tree.
Python
1
star
38

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

Logistic Regression for Cancer Data Classification: Achieve 96.50% accuracy in benign vs. malignant cell classification.
Jupyter Notebook
1
star
39

Object-Tracking-Dog

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 general color contrast.
Python
1
star