An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: machine-learning-beginners

DataByteSun/Machine-Learning

Machine Learning example includes code, explanations, and insights into the story behind the problem being solved.

Language: Jupyter Notebook - Size: 7.34 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

sukhmani1303/flight-price-prediction

A Streamlit ML app for flight price prediction. This one project involves concepts like EDA, Linear, Lasso & Ridge Regression, Kfold, Hyper Parameter Tuning & GridSearchCV. I am constantly building a rich repository of all the information I have on a particular topic as part of my machine learning practice. Very Helpful for ML beginners.

Language: Jupyter Notebook - Size: 6.94 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

zoppellarielena/Exercises-for-Machine-Learning

In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MeldwithAI/meldwithai

Education | Research community for Artificial Intelligence, Machine learning, Vision, and Natural Language Processing

Language: SCSS - Size: 116 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Davidportlouis/titanic_surviver

Machine Learning Model to predict surviver in RMS Titanic using Logisitc Regression and kaggle dataset

Language: Python - Size: 39.1 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

macabdul9/knn-with-mnist-datasets

running knn on mnist dataset for numeric digit detection

Language: Jupyter Notebook - Size: 18.9 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 2

Sanketp1997/Simple-Machine-Learning-Implementation-Using-Keras

This is a very Simple Machine Learning Example Implemented with Keras model. System simply classifies the data with it's sum, If the sum of integers given as data is greater than 10(i.e two digit) then it will classify as yes. Else it will classify as no.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

aboutbo/MachineLearning

Language: Python - Size: 881 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

xssChauhan/SimpleNets

Neural Networks for Beginners

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0