Sema Kapusızoğlu's starred repositories
data-engineering-zoomcamp
Free Data Engineering course!
BotBuilder-Samples
Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript/TypeScript, and Python to help you get started with the Bot Framework SDK!
awesome-python-data-science
Probably the best curated list of data science software in Python.
terraform-course
Course files for my Udemy course about Terraform
Efficient-Python-for-Data-Scientists
Writing clean and optimized Python code
awesome-online-machine-learning
:bookmark_tabs: Online machine learning resources
snowpark-python-demos
This repository provides various demos/examples of using Snowpark for Python.
delta-examples
Delta Lake examples
azure-databricks-streaming-analytics
Stream processing with Azure Databricks
notebook-best-practices
An example showing how to apply software engineering best practices to Databricks notebooks.
public-information-map-template-js
An ArcGIS Online mapping template to showcase social media on a map for disaster response and public information.
adb-essentials-demos
ADB Essentials Demos used in the webinars: https://databricks.com/p/webinar/azure-databricks-essentials-series
Solar-Power-Generation-Forecasting
Prediction of Solar Power Generated by a power plant using artificial neural networks
databricks-playground
Code samples, etc. for Databricks
Azure-Databricks-Cookbook
Azure Databricks Cookbook, Published by Packt
machine-learning-big-loop
a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation
db-common-assets
To store quick starters for daily tasks on Databricks
e2e_datapipeline_test
Example repo to create end to end tests for data pipeline.
databricks-demo
Simple demo for Databricks!
pyspark-project
This is the first project where we worked on apache spark, In this project what we have done is that we downloaded the datasets from KAGGLE where everyone is aware of, we have downloaded loan, customers credit card and transactions datasets . After downloading the datsaets we have cleaned the data . Then after by using new tools and technologies like spark, HDFS, Hive and many more we have executed new use cases on the datasets we have downloaded from kaggle. As we all know apache spark is a framework that can quickly process the very large datsets.
data-engineering-with-databricks
A simple boilerplate for data engineering and data analysis training in Databricks.
66DaysOfDataBot
🤖 #66DaysOfData's Discord Bot
Solar-Power-Generation-Forecasting
Prediction of Solar Power Generated by a power plant using artificial neural networks