Pinned Repositories
azureml-mlops-example-scenarios
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.
sgouda0412's Repositories
sgouda0412/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
sgouda0412/airflow-aws-elt
sgouda0412/AlgoExpert-LeetCode-Solutions
Here I'm storing the solutions I came up with for problems available on algoexpert.io and leetcode.com
sgouda0412/Apache-Airflow-1
Code base for airflow training series Getting easy with Apache Airflow
sgouda0412/Audible_Book_Project-ETL--GCP-Airflow-PySpark-BigQuery
sgouda0412/BankingSystem
Python OOP
sgouda0412/d-one-mlops-aws
Repository for the D ONE MLOps AWS BlogPost
sgouda0412/Daily-Coding-Problem-Solutions
🎓🖥️ Solutions for 350+ Interview Questions asked at FAANG and other top tech companies
sgouda0412/data-engineering-with-databricks-english
sgouda0412/Datawarehousing-Automation-with-GCP-Airflow
sgouda0412/de
Data engineering [ PySpark + Airflow + PostgreSQL + Snowflake + Redshift + Docker ]
sgouda0412/e4ds-snippets
Code examples and experiments from https://engineeringfordatascience.com
sgouda0412/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
sgouda0412/final_demo
this is for liveability final demo
sgouda0412/git-test
Learning git repos
sgouda0412/git_push
sgouda0412/Grind-75
Leetcode Solutions in Python for Grind 75
sgouda0412/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
sgouda0412/LeetCode
💡 LeetCode in C++/Java/Python (respect coding conventions)
sgouda0412/LeetCode-1
sgouda0412/pharmaceutical-sales-pridiction
The finance team in a pharmaceutical sales wants to forecast sales in all their stores across several cities six weeks ahead of time. Managers in individual stores rely on their years of experience as well as their personal judgment to forecast sales. The data team identified factors such as promotions, competition, school and state holidays, seasonality, and locality as necessary for predicting the sales across the various stores. This aim of this project is to build and serve an end-to-end product that delivers this prediction to analysts in the finance team.
sgouda0412/python-2
python basics and oops and design patterns
sgouda0412/Python-Best-Practices
Best practices for writing a better code in Python
sgouda0412/Snowflake-Realtime-Data-Warehouse-Project
sgouda0412/SnowparkAndAirflow
Using SnowPark with Airflow some simple example to show how to move some spark jobs to Snowpark Jobs
sgouda0412/SQL-Leetcode
sgouda0412/TestDataGenerate
Generate Test Data By DDL Script
sgouda0412/Udacity-Patents-Analytics-Data-Pipeline
Data Pipeline for Patents Analytics using Pyspark and Airflow
sgouda0412/VideosSampleCode
Code from the mCoding sample videos
sgouda0412/vim-snippets
vim-snipmate default snippets (Previously snipmate-snippets)