There are 17 repositories under python-machine-learning topic.
Machine Learning notebooks for refreshing concepts.
吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现
Python Machine Learning Algorithms
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
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
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
Python template project for segmentation of teeth for use in forensic investigations
Python Machine Learning Mini-Course 繁體中文版
Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling
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.
Project data science Python membuat rekomendasi film menggunakan metode Machine Learning
Example of deploying a machine learning model as a Python web app on Heroku
Akashic: The Smart Resource Management System 🔥
This Repo Contains Example Files For Image Filtering Using Python
Python Machine Learning Examples used for Teaching
The aim of the project is to detect the intrusion in network. The dataset link has been mentioned below.
The "Python Machine Learning (2nd edition)" book code repository and info resource
NN and CNN implementation from scratch in PyTorch with data loading, training, and evaluation phase on CIFAR 100 image dataset
Лабораторные работы по курсу: машинное обучение
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.
A unofficial companion repo to the Deep Learning Book by Ian Goodfellow/et.al. Includes code, notebooks, and notes.
⚡Explore machine learning concepts through Python scripts and Jupyter notebooks showcasing algorithms and applications
Review of some machine learnings models
STUDY ON PROCESSING BRAIN SIGNALS USING EEG SENSOR BY MACHINE LEARNING
A WebApp which gives Songs Recommendations to users
Classic ML starter project to classify messages from a sms dataset into spam and ham
A repository for machine learning and artificial intelligence projects applied to games
Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.
A standard (non-convolution based) neural network to classify the MNIST dataset.
Quick image classification model designed to tell the difference between an airplane, boat, or a car that was trained on hundreds of images!
This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.
COVID-19: Behind the Numbers.