Train Your Data without Python
In this Article we will discuss about creating Data Model/Predict without Python
If you are C# developer there is no need to learn new languages like Python or R for Data Science.
Tools
Jupyter notebook widely used in data science community and it has good support for Python language
If you are new to Jupyter Notebook Please read brief introduction here.
Jupyter Notebook
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
In-browser editing for code, with automatic syntax highlighting, indentation, and tab completion/introspection.
The ability to execute code from the browser, with the results of computations attached to the code which generated them.
Good news for C# developers 😊😊-Jupyter Notebook supports C# language
https://devblogs.microsoft.com/dotnet/net-interactive-is-here-net-notebooks-preview-2/
“.NET interactive is a group of CLI tools and APIs that enable users to create interactive experiences across the web, markdown, and notebooks.”
How to Enable C# in Jupyter Notebook
Open the Anaconda Prompt (Windows) or Terminal (macOS) and verify that Jupyter is installed and present on the path:
dotnet tool install -g dotnet-try
Install the .NET kernel by running the following within Anaconda Prompt:
dotnet try jupyter install
[InstallKernelSpec] Installed kernelspec .net-csharp in ~\jupyter\kernels\.net-csharp
.NET kernel installation succeeded
[InstallKernelSpec] Installed kernelspec .net-fsharp in ~\jupyter\kernels\.net-fsharp
.NET kernel installation succeeded
- You can verify the installation by running the following again in the Anaconda Prompt:
> jupyter kernelspec list
.net-csharp ~\jupyter\kernels\.net-csharp
.net-fsharp ~\jupyter\kernels\.net-fsharp
python3 ~\jupyter\kernels\python3
You can verify installation in Jupyter Lab or Jupyter Notebook
https://devblogs.microsoft.com/dotnet/net-core-with-juypter-notebooks-is-here-preview-1/
For below steps it is not compulsory to have Jupyter Note Book, you can start creating Data Model in Visual Studio.
I am showing all the steps in Jupyter notebook just give you feel like a real Data Scientist 😊
Create a Jupyter Notebook by Selected Kernel Type as C#/. Net
Step-1
Install Required Packages
Using statements
Let’s Create Data Model With Power of C# / ML. Net
ML. Net has good support for algorithms and can be selected based on use case
In Data Science world Data Visualization place major role. If you have any experience Python Plotly major used library to draw plots and view relationships between column data.
Using Data Frame/Plotly Graphs
PrimitiveDataFrameColumn<DateTime> dateTimes = new PrimitiveDataFrameColumn<DateTime>("DateTimes"); // Default length is 0.
PrimitiveDataFrameColumn<int> ints = new PrimitiveDataFrameColumn<int>("Ints", 3); // Makes a column of length 3. Filled with nulls initially
StringDataFrameColumn strings = new StringDataFrameColumn("Strings", 3); // Makes a column of length 3. Filled with nulls initial
C# has also support like Numpy ,tensor flow
Install-Package NumSharp
Install-Package Tensorflowusing System;
using NumSharp;
using Tensorflow;
Create Model with Model Builder
Visual Studio provides Extension to create Data Model Code from provided Data
We can use this tool to generate code and use for further analysis & training
Build ML models in the Azure ML studio
If you don’t know how to create a model and just want to consume a Model by creating from your Data Set, Azure has Azure ML Services for you.
Above diagram in simple words can be described as below
Azure ML Editor will provide us flexibility of selecting well used algorithms for training and can be used Model as Web Service for Predicting
And After all this reading still If I did not convince you to create a model that is fine. I can provide you more options to enable prediction power to your applications
Please refer this article to know more.
https://medium.com/@sannidhisiva/azure-engineer-to-azure-ai-engineer-7d6a1c673b04
Help links
https://jupyter.org/index.html
https://dotnet.microsoft.com/learn/ml-dotnet
https://medium.com/@sannidhisiva/azure-engineer-to-azure-ai-engineer-7d6a1c673b04
https://machinelearningforkids.co.uk/
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy
