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bigdata

This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.

cambridgespark-webapp

cognitiveclass.ai-python-for-data-science

Course link: https://cognitiveclass.ai/courses/python-for-data-science/ Python for Data Science these are notebooks from the course This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this free course is for you.

data_science_bootcamp

Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.

deploy-keras-deep-learning-model-with-flask

Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine

email_spam

fdp-logparsing-project

forecastr

A flask app that leverages Facebook Prophet to provide people with the ability to build simple baseline forecasts from within a guided user interface

fuel-consumption-end-to-end-ml

End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.

gitpodtest

heroku-image-classification-app

iitr-deep-learning-spl-tf2

Deep Learning Specialization course by IIT Roorkee (Using python, numpy, pandas, sklearn,TensorFlow 2)

keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

mastering-apache-spark

This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-part-2

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlflow-workshop-project-expamle-1

This example demonstrates how you can use GitHub projects in MLflow and share it with others to reproduce runs

powerbi-ai-samples

Sample datasets and PBIX files for AI in Power BI

python-flask-api-tutorial

Building an API with Python Flask

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

rag-chatbot-from-web-data

resnet-image-classification-flask-app

spark-notebook

Interactive and Reactive Data Science using Scala and Spark.

streamlit_forecasting_app

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

zmq-image-classification

Deploying an image classification model to build a fast image classification app using ZMQ