Predict users churn for a music box app.
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Updated
Aug 23, 2017 - Jupyter Notebook
Predict users churn for a music box app.
This project quite simply exists to help myself and others downsample csv files.
Downsampled version of PalntVillage dataset
Предиктивный анализ оттока клиентов
We will visualize the style transfer output produced by monet_generator_model. We take 5 sample images that are photos of beautiful landscapes in the original dataset and feed them to the model.
Drone using Fully Convolutional Network
Simple Python Utility for Image Downsampling
Collection of several downsampling methods for time series visualisation purposes.
Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
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