suryansh2020's repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awesome-data-podcasts
A list of awesome data podcasts
aws-lambda-docker
Using AWS Lambda with Docker to deploy a deep learning model
cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
data-engineering-zoomcamp
Code for Data Engineer Zoomcamp course
data-paths
Learning paths for data roles
data-science-interviews
Data science interview questions and answers
Deep_and_Machine_Learning_Projects
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
fastbook-1
The fastai book, published as Jupyter Notebooks
git-challenge
Git challenges to help you master git CLI and solve the most commont problems.
instapy-docker
🐳 Docker config and documentation for running InstaPy with Docker
kubernetes-deep-learning
Deployng a Keras model with TF-Serving and EKS
Shiny_Dashboard
Final Project for Developing Data Products Course
tflite-aws-lambda
Compiled TF-Lite for AWS Lambda
VideosSampleCode
Code from the mCoding sample videos
Airflow-Tutorials
Airflow Tutorials
dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Learn-Apache-Airflow-in-easy-way-
Learn Apache Airflow in easy way
learn-aws-step-functions
learn-aws-step-functions
learning-logstash-and-elastic-search-plugins
learning logstash and elastic search plugins
Step-by-Step-Guide-to-Incrementally-Pulling-Data-from-JDBC-with-Python-and-PySpark
Step-by-Step Guide to Incrementally Pulling Data from JDBC with Python and PySpark