The practitioner's forecasting library
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Updated
May 21, 2024 - Python
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".
🌟 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.
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