Neural Networks for Beginners
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Updated
Feb 11, 2018 - Jupyter Notebook
Neural Networks for Beginners
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.
This repository is designed for those interested in learning about machine learning through practical examples. Each example includes code, explanations, and insights into the story behind the problem being solved.
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.
Machine Learning Model to predict surviver in RMS Titanic using Logisitc Regression and kaggle dataset
running knn on mnist dataset for numeric digit detection
Education | Research community for Artificial Intelligence, Machine learning, Vision, and Natural Language Processing
In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.
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