Pinned Repositories
AI_Enabled_Image_Bucketization
Bucketize an image based on exhaust data and AI generated data
AIR-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!
Complete-EDA-and-Sentiment-Analysis
In depth EDA, Sentiment Analysis Model Building Evaluation and Selection, Model deployment
DataTransfer
Generic HDFS data and Hive Database transfer automation between any environment(Production/QA/Development) utilizing Amazon S3 storage
FindMyImage
Use AI, Search and exhaust data mining to resize, arrange, tag, categorize, generate caption and search through all your images in a flash.
HybridArchiveStorage
Hive hybrid storage mechanism to reduce storage cost exponentially utilizing hot data in hdfs and cold data in S3 storage
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.
mlops-github-actions
Set up a data science or machine learning project with automated training and deployment using GitHub Actions and Azure Machine Learning.
Movies-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.
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.
RajdeepBiswas's Repositories
RajdeepBiswas/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.
RajdeepBiswas/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.
RajdeepBiswas/mlops-github-actions
Set up a data science or machine learning project with automated training and deployment using GitHub Actions and Azure Machine Learning.
RajdeepBiswas/AIR-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!
RajdeepBiswas/Complete-EDA-and-Sentiment-Analysis
In depth EDA, Sentiment Analysis Model Building Evaluation and Selection, Model deployment
RajdeepBiswas/MLOpsPy
MLOps with Azure ML
RajdeepBiswas/Movies-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.
RajdeepBiswas/Stock_Sentiment_Analysis
Scrub the stock related news and perform sentiment analysis on top of that.
RajdeepBiswas/A-TALE-OF-THREE-CITIES
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
RajdeepBiswas/abhinavs.github.io
A responsive Jekyll theme with clean typography and support for large full page images.
RajdeepBiswas/ADF_Repo
Stores the ADF artifacts
RajdeepBiswas/AI-Powered-Insight-Hub
An advanced accelerator integrating OpenAI's generative AI models and data retrieval technologies for intelligent, customizable, and explainable information discovery.
RajdeepBiswas/AMLS_With_Kaggle
Contains code to integrate Kaggle API with Azure Machine Learning Services
RajdeepBiswas/ArchitectureAsCode
Using "Diagrams" and python notebooks to render cloud architectures
RajdeepBiswas/Azure-Databricks-Dev-Ops
Complete end to end sample of doing DevOps with Azure Databricks
RajdeepBiswas/demo-dev-adf
CI CD in ADF using Azure DevOps
RajdeepBiswas/EDA
EDA Exercises
RajdeepBiswas/Effective_Visualization
RajdeepBiswas/jekyll-theme-prologue
A Jekyll version of the "Prologue" theme by HTML5 UP
RajdeepBiswas/mlops-github-actions-all
comprehensive MLOPS automated pipeline
RajdeepBiswas/mlops-python
RajdeepBiswas/MLOpsPython
RajdeepBiswas/moonwalk
A fast & minimal Jekyll blog theme with clean dark mode
RajdeepBiswas/NYC_Taxi
Exploratory Data Analytics on New York Taxi (NYC) Dataset
RajdeepBiswas/OpenHackDecData
RajdeepBiswas/RajdeepBiswas
Config files for my GitHub profile.
RajdeepBiswas/RajdeepBiswas.github.io
RajdeepBiswas/Student_Survey_Analysis
We will analyze the results of a survey recently given to college students. The research question being investigated is: “Is there a significant relationship between the amount of time spent reading and the time spent watching television?” You are also interested if there are other significant relationships that can be discovered? The survey data is located in StudentSurvey.csv file.
RajdeepBiswas/SynapseRepo
RajdeepBiswas/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition