seyedamirshobeiri/Diabets_classification

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Created almost 4 years ago
Updated almost 4 years ago

seyedamirshobeiri/Diabets_classification

seyedamirshobeiri

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This project use Decision tree algorithm in python for classification Patient

Lower-Back-Pain-Symptoms

we use MLPclassifier

Jupyter Notebook

Image_calssification

image recognation with Deep learning and GUI

seyedamirshobeiri

my bio for github

Santander-Customer-Satisfaction

we use MLP for classification

Jupyter Notebook

Iris-classification

This classification problem is known as the hello world of supervised machine learning

Car-Price-Prediction

Jupyter Notebook

Shap-library-ImageNet-

Shap library for explaining a Blackbox

Jupyter Notebook

car_detection

you will learn how to use OpenCV and Deep Learning to detect cars in video streams, track them.

Jupyter Notebook

random_forest_mnist

we classification Mnist data set using random forest algorithm

Jupyter Notebook

Face_Detection

Face detection using Haar cascades is a machine learning based approach where a cascade function is trained with a set of input data. OpenCV already contains many pre-trained classifiers for face, eyes, smiles, etc.. Today we will be using the face classifier. You can experiment with other classifiers as well.

Jupyter Notebook

YouTube-video-downloader

One of the best ideas to start experimenting with you hands-on python projects for students is working on a YouTube video downloader

Face_and_Eye_Detection-using-OpenCV

We will see the basics of face detection and eye detection using the Haar Feature-based Cascade Classifiers

Jupyter Notebook