mart-anthony-stark/Machine-Learning-and-Deep-Learning
A repository of my activities, jupyter notebooks, datasets, projects, and resources used in machine learning algorithms for data science and deep learning
This collection provides practical examples and resources for applying machine learning to various real-world scenarios. It helps you take raw data, such as house prices, stock quotes, or text messages, and use it to build predictive models or analyze trends. This is useful for data scientists, analysts, or students looking to understand and implement common machine learning tasks.
No commits in the last 6 months.
Use this if you are a data scientist or analyst wanting to learn how to apply machine learning algorithms to different datasets and problems, or if you need practical examples for tasks like price prediction, data analysis, or text classification.
Not ideal if you are looking for a ready-to-use application or a fully developed product to solve a specific business problem without needing to interact with code.
Stars
7
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mart-anthony-stark/Machine-Learning-and-Deep-Learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a...
Tanu-N-Prabhu/Python
This repository helps you learn Python and Machine Learning from scratch.
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine...
github/codespaces-jupyter
Explore machine learning and data science with Codespaces
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion