The practitioner's forecasting library

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.

A fast, robust library to check for offensive language in strings, dropdown replacement of "profanity-check".

Mini curso - Jornada Python oferecido pela hashtag treinamentos - 4 projetos em Python

🌟 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Winter24AICohort

24/01/2024 Jeyfrey J. Calero R. Aplicación de Redes Neuronales con scikit-learn streamlit, pandas, seaborn y matplolib

ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset

Machine Learning on Raspberry Pi Zero and Zero-W

This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.

Spotify Playlist Music Recommendation System

Python's data science and machine learning ecosystem includes NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. These libraries empower efficient data handling, visualization, and advanced model development.

Explore iris species classification using scikit-learn's decision trees for machine learning. Efficient and accurate classification of iris flowers based on petal and sepal attributes.

predicting whether you read mail

Data Science and Machine Learning project for a recipe website that wishes to increase their traffic.

A ML learning approach with increasing complexity.