Pinned Repositories
A-Tale-of-Two-Cities
Clustering Neighborhoods of Paris and London using Machine learning.
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
Cookbook
The Data Engineering Cookbook
cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
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
suryansh2020's Repositories
suryansh2020/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
suryansh2020/awesome-data-podcasts
A list of awesome data podcasts
suryansh2020/aws-lambda-docker
Using AWS Lambda with Docker to deploy a deep learning model
suryansh2020/Cookbook
The Data Engineering Cookbook
suryansh2020/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
suryansh2020/data-engineering-zoomcamp
Code for Data Engineer Zoomcamp course
suryansh2020/data-paths
Learning paths for data roles
suryansh2020/data-science-interviews
Data science interview questions and answers
suryansh2020/deep-learning-keras-aws-lambda
suryansh2020/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.
suryansh2020/DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
suryansh2020/fastbook-1
The fastai book, published as Jupyter Notebooks
suryansh2020/git-challenge
Git challenges to help you master git CLI and solve the most commont problems.
suryansh2020/gluon-nlp
NLP made easy
suryansh2020/herokutest
suryansh2020/instapy-docker
🐳 Docker config and documentation for running InstaPy with Docker
suryansh2020/kubernetes-deep-learning
Deployng a Keras model with TF-Serving and EKS
suryansh2020/lime
Lime: Explaining the predictions of any machine learning classifier
suryansh2020/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
suryansh2020/Shiny_Dashboard
Final Project for Developing Data Products Course
suryansh2020/tflite-aws-lambda
Compiled TF-Lite for AWS Lambda
suryansh2020/VideosSampleCode
Code from the mCoding sample videos
suryansh2020/workshop-ai-as-api
suryansh2020/Airflow-Tutorials
Airflow Tutorials
suryansh2020/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
suryansh2020/Getting-started-with-AWS-Glue-and-Python-Pyspark-for-Beginners
suryansh2020/Learn-Apache-Airflow-in-easy-way-
Learn Apache Airflow in easy way
suryansh2020/learn-aws-step-functions
learn-aws-step-functions
suryansh2020/learning-logstash-and-elastic-search-plugins
learning logstash and elastic search plugins
suryansh2020/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