Vertex AI is a bare-bones analytics environment in Google Cloud.
Google Colab is a low barrier option to run Python scripts.
Datalore is a collaborative data science platform. The notebook experience has been taken to the next level.
The online Python worskpace Datalore has three main models for pricing and licensing.
Here is a presentation of the wealth management app I have developed.
I created a web server with Go language and deployed it Google Cloud Run inside a Docker container.
Reading and visualizing Finland’s postal code data on a map in Python.
For technically advanced teams looking for flexible Kubernetes deployments.
Log experiments and ML models versions from any environment.
Paperspace Gradient machine learning platform is best known from extensive GPU support.
Saturn Cloud is a greate choice for data science teams who want to maximize flexibility of their environment.
Datalore is a fairly recent online platform for advanced data analytics.
Bodo is a platform for data processing with Python and SQL.
Keras is one of the high level APIs in Tensorflow deep learning stack.
I have more experience from Pandas and Scikit-Learn Python libraries compared to Tensorflow.
During my website migration it became evident that I would also need a new email service.
Kubernetes have been everywhere lately. Especially in the context of MLOps. I gave it a try by creating web app with Python Flask.
I found an undocumented product_id parameter in Pipedrive API to attach products to deals. The issue is reported to Pipedrive dev team.
Google Colab, Databricks Community Edition, Visual Studio Code and Dcoker are some options to create a free data science workspace.
Comparing the major machine learning platforms AWS SageMaker, Azure Machine Learning, Google Vertex AI and Databricks.
Machine learning in predictive maintenance. The two-part blog series provides insights for cost savings and an example script in Python.
Experiences from DataCamp online training. Structured data science courses are easy to organize for yourself or a team.
The article goes through the PySpark execution logic and provides guidelines to optimize the speed and performance.
Clustering time series data with SQL - Nice 3D visualization using simple logic. Python notebook example in GitHub with industrial data.
A tutorial for parallel computation with Spark and Python. The example has been ran on AWS cloud computing platform.
I wrote to Solita's blog about text analytics with the headline "Finnish stemming and lemmatization in python". The post has code examples.
Investing when a depression is coming. Is it bad moment to start investing to stock index that are usually seen as sage bets?
Python code to automatically list header fields of multiple CSV files. The original use case was related to data warehouse documentation.
Python based Django web framework offers a great platform to create a data oriented web application for any size of needs.