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https://github.com/kwokhing/udacity-bertelsmann-intro-to-ml-with-tensorflow

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow
https://github.com/kwokhing/udacity-bertelsmann-intro-to-ml-with-tensorflow

deep-learning gridsearchcv k-means-clustering machine-learning pca-analysis pickle random-forest sklearn supervised-machine-learning tensorflow unsupervised-machine-learning

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Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow

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## Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow ##

This repo contains the 3 projects for the [Udacity Intro to Machine Learning with TensorFlow](https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230) course.

1. `Supervised Learning` - [Finding Donors for CharityML](https://github.com/KwokHing/Udacity-Bertelsmann-Intro-to-ML-with-TensorFlow/tree/main/Finding%20Donors%20for%20CharityML)
2. `Deep Learning` - [Image Classification with Tensorflow](https://github.com/KwokHing/Udacity-Bertelsmann-Intro-to-ML-with-TensorFlow/tree/main/Image%20Classifier)
3. `Unsupervised Learning` - [Identify Customer Segments with Arvato](https://github.com/KwokHing/Udacity-Bertelsmann-Intro-to-ML-with-TensorFlow/tree/main/Identify%20Customer%20Segments)