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 mauro.pelucchi@gmail.com
- 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
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