Pinned Repositories
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
PowerBI-AI-samples
Sample datasets and PBIX files for AI in Power BI
spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
AadityaDubey's Repositories
AadityaDubey/bigdata
This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
AadityaDubey/PowerBI-AI-samples
Sample datasets and PBIX files for AI in Power BI
AadityaDubey/spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
AadityaDubey/cambridgespark-webapp
AadityaDubey/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.
AadityaDubey/Data_Science_Bootcamp
Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.
AadityaDubey/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
AadityaDubey/email_spam
AadityaDubey/FDP-LogParsing-Project
AadityaDubey/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
AadityaDubey/GitpodTest
AadityaDubey/fuel-consumption-end-to-end-ml
End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.
AadityaDubey/Heroku-Image-Classification-App
AadityaDubey/iitr-deep-learning-spl-tf2
Deep Learning Specialization course by IIT Roorkee (Using python, numpy, pandas, sklearn,TensorFlow 2)
AadityaDubey/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.
AadityaDubey/Mastering-Apache-Spark
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
AadityaDubey/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.
AadityaDubey/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.
AadityaDubey/mlflow-workshop-project-expamle-1
This example demonstrates how you can use GitHub projects in MLflow and share it with others to reproduce runs
AadityaDubey/python-flask-api-tutorial
Building an API with Python Flask
AadityaDubey/python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
AadityaDubey/RAG-Chatbot-from-web-data
AadityaDubey/Resnet-Image-Classification-Flask-App
AadityaDubey/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.
AadityaDubey/zmq-image-classification
Deploying an image classification model to build a fast image classification app using ZMQ