scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python Data Science Handbook: full text in Jupyter Notebooks
An intuitive library to add plotting functionality to scikit-learn objects
The "Python Machine Learning (1st edition)" book code repository and info resource
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments
This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning
This project is a face recognition-based attendance system that uses Python, OpenCV, Scikit-learn, Streamlit, and various other libraries like Pandas, Numpy, Datetime, and OS for different functionalities
with keras data set we load a data base and train our machine for test
Personal tasks or codes of Machine Learning and Artificial Intelligence
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models
A no-code solution for performing data transformations like imputation, encoding, scaling, and feature creation, with an intuitive interface for interactive DataFrame manipulation and easy CSV export
A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification
Short machine learning project which analyses customer behaviour 🔎
A processing of a simplified video game dataset using k-nearest neighbors, and using Synthetic Data Vault and Regression/Classification models to verify synthetic model accuracy
This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program
A fusion between Python and legend, a name that suggests that the code is both modern and mythical
This repository focuses on implementing Linear Discriminant Analysis (LDA) as a classifier on embedded scikit-learn datasets