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Stock_Market_Prediction_with_SnP500
This project would demonstrate the following capabilities: 1. Extraction Loading and Transformation of S&P 500 data and company fundamentals. 2. Exploratory and Time Series Data Analysis on top of the stock data. 3. Stock Screener based on fundamentals. 4. Stock Price Prediction using multiple and/or an ensemble of machine learning models.mlops-github-actions
Set up a data science or machine learning project with automated training and deployment using GitHub Actions and Azure Machine Learning.Manufacturing-Quality-Inspection
I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team.HybridArchiveStorage
Hive hybrid storage mechanism to reduce storage cost exponentially utilizing hot data in hdfs and cold data in S3 storageDataTransfer
Generic HDFS data and Hive Database transfer automation between any environment(Production/QA/Development) utilizing Amazon S3 storageTen_Minute_ChatBot_Python
FindMyImage
Use AI, Search and exhaust data mining to resize, arrange, tag, categorize, generate caption and search through all your images in a flash.Complete-EDA-and-Sentiment-Analysis
In depth EDA, Sentiment Analysis Model Building Evaluation and Selection, Model deploymentStock_Sentiment_Analysis
Scrub the stock related news and perform sentiment analysis on top of that.EncryptedDataTransfer
HDFS Encrypted zone intra-cluster transfer automationMLOpsPy
MLOps with Azure MLMovies-Data-Consortium
The Movies dataset is extraordinarily rich in nature and a lot of interesting data science and exploratory data analytics analysis can be done using it. In this project I have created a movies data consortium by blending a file data store sourced from the Movies Dataset hosted in Kaggle, website data from Wikipedia and API data from themoviedb.org.databricks-workshops
meetupHouston100819
helper for demoAI_Enabled_Image_Bucketization
Bucketize an image based on exhaust data and AI generated dataAIR-TRAVEL-SAFETY-DASHBOARD
No other form of transportation is as scrutinized, investigated and monitored as commercial aviation. Yet there are compelling statistics and figures that prove airline transportation to be the safest way to travel. In fact, based on odds of dying statistics, if someone did fly every day of their life, probability indicates that it would take more than seventeen thousand years before that person would succumb to a fatal accident. Seventeen thousand years!Love Open Source and this site? Check out how you can help us