Machine Learning Algorithm to predict the House prices.
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Updated
Jan 13, 2019 - Jupyter Notebook
Machine Learning Algorithm to predict the House prices.
A Tensorflow questions Datasets to help you practice Machine learning and Train Models
A two-terminus track with a station midway, controlled with Arduino: auto-reverse employing IR proximity sensors.
Website to predict the prices of Real Estate.
DCC Generator für Arduino Uno zur Ansteuerung digitaler Modelleisenbahnen
ML and Datascience projects
I developed the model to attain the predictive analysis in this task.
Model Train Power Distribution Board
Use various techniques to train and evaluate a model based on loan risk. I’ll use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
A libary to read and write message to a serial port based model railroad
You have been hired as a consultant to a start-up that is running a targetted marketing ads on facebook. The company wants to analyze customer behavior by predicting which customer clicks on the advertisement.
A C# library for interfacing with the Roco and Fleischmann Z21 Digital Command Center (DCC). Control trains, functions, and eventually signals/switches using the Z21 protocol. Available as a NuGet package.
TCP Ecos ist eine Konsolenapplikation zum direkten Ansteuerung der ESU ECoS 50210 Zentrale über die PC Schnittstelle.
Model train
A real-time microkernel for controlling model train sets.
TrainDatabase is a software that lets you control your model trains with your PC. Whether you want to run a single train or a whole network, TrainDatabase gives you an easy and intuitive way to do it.
My Experiments to automate a model railway
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