mauropelucchi / machine-learning-course

Machine Learning and Deep Learning Course

Machine Learning and Deep Learning Course

This repository contains a topic list of Machine Learning and Deep Learning tutorials, articles and other resources.

If you want to contribute to this repository (please do!!!), send me a pull request and an email (mauro.pelucchi @ gmail.com). Since I want these documents to be useful in the long run, please submit high quality materials or distintive researchs.

For any info please don't exit to contact me at [email protected]

Topic list

• Recommending Music and the Audioscrobbler Data Set
• Forest Cover type Data Set with Decision Trees and Random Forest
• KDD 1999 CUP - Anomaly Detection in Network Traffic by KMeans
• Instacart Market Basket Analysis from Kaggle
• A novel story from exploration analysis of toxic comments: train a Word2Vec model
• GBM, GLM, Naive Bayes and Deep Learning for classify Toxic comments (H2O and R)
• GeoPySpark Demo (GeoTrellis + PySpark)
• GeoSpark Demo on Regione Lombardia Open Dataset - Meteo
• TensorFlow - Deep Learning on MNIST Dataset - CNN
• H2O KNN Clustering on Uber Dataset (Kaggle)
• SparkR Demo on Uber Dataset
• Netatmo analysis with MongoDB Aggregate Pipeline and Spatial Function

MIT License

Copyright (c) 2017 Mauro Pelucchi

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.