python-machine-learning

maykulkarni/Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

hujinsen/python-machine-learning

吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现

nogilnick/pythonml

Artificial neural network classes and tools in Python and TensorFlow.

ammarmahmood1999/HeartHealthPrediction

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set

GeorgeSeif/Python-Machine-Learning

Python Machine Learning Algorithms

habedi/PracticalMachineLearning

A collection of open-source and free machine learning resources

Aoriseth/Python-Active-shape-model-for-Incisor-Segmentation

Python template project for segmentation of teeth for use in forensic investigations

kevingo/Python-Machine-Learning-Mini-Course-zh-TW

Python Machine Learning Mini-Course 繁體中文版

MrKhan0747/Heart-Disease-Detection

Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling

Mike-Schmidt-Avemac/ai-email-insights

Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.

nidaguler/breast_cancer_detection_using_python_and_machine-learning

trungngv/heroku-python-ml-example

Example of deploying a machine learning model as a Python web app on Heroku

AyushAgnihotri2025/Akashic

Akashic: The Smart Resource Management System 🔥

anggorodhanumurti/Rekomendasi-Film-Netflix

Project data science Python membuat rekomendasi film menggunakan metode Machine Learning

ibelgin/Image_Filters_Python

This Repo Contains Example Files For Image Filtering Using Python

J4NN0/deep-learning-cnn

NN and CNN implementation from scratch in PyTorch with data loading, training, and evaluation phase on CIFAR 100 image dataset

SamRB-dev/KaggleProjects

A repo containing all the projects I'm doing in kaggle in my journey to learn ML/AI engineering. Feel free to star/fork the repo if you wish to.

tobybreckon/python-examples-ml

Python Machine Learning Examples used for Teaching

MrKhan0747/Network-Intrusion-Detection

The aim of the project is to detect the intrusion in network. The dataset link has been mentioned below.

trungngv/python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

vladpunko/bsuir-labworks-mo

Лабораторные работы по курсу: машинное обучение

MrAnayDongre/Parkinsons-DiseaseDetection

In this Python machine learning project, using the Python libraries scikit-learn, numpy, pandas, and xgboost, I have build a model using an XGBClassifier. We’ll load the data, get the features and labels, scale the features, then split the dataset, build an XGBClassifier, and then calculate the accuracy of our model.

SUMITKUMARSINGH2/VisionaryStocks

Real-Time Stock Price Visualization using Streamlit

DanburyAI/DeepLearningBookCompanion

A unofficial companion repo to the Deep Learning Book by Ian Goodfellow/et.al. Includes code, notebooks, and notes.

EastonArcher/Python-Machine-Learning

⚡Explore machine learning concepts through Python scripts and Jupyter notebooks showcasing algorithms and applications

infinitecoder1729/mnist-dataset-classification

A standard (non-convolution based) neural network to classify the MNIST dataset.

leonism/the-gemikas-magical-guide-to-sorting-hogwarts-students-using-the-decision-tree-algorithm

Get ready to swap your cauldrons for enchanted laptops and your wands for codebreaking quills! A most extraordinary adventure awaits, filled with not only wondrous discoveries but also the camaraderie that binds our magical community.

maldil/JavaFyPy

adapting Java AST mining tools to Python

Masoud-Khosravi/Machine-Learning

Review of some machine learnings models

munkh0724/EEG-Datasets

STUDY ON PROCESSING BRAIN SIGNALS USING EEG SENSOR BY MACHINE LEARNING

piyush078/recommender

A WebApp which gives Songs Recommendations to users

prithwish249/Diabetes_detection

Diabetes detection with ML and API integration.

raphelemmanuvel/ml-spam-classification

Classic ML starter project to classify messages from a sms dataset into spam and ham

rbaltrusch/gameML

A repository for machine learning and artificial intelligence projects applied to games

dlanzo/DGAKMC

Deep Generative Adversarial Kinetic Monte Carlo