Ashutosh27ind
Python, SQL, LLM, Data Science, Neural Networks, AI, ML, Spark, Hive, Hadoop, MLOps, Deployment, Java, Micro Services, UNIX, PL-SQL, C/Pro-C, Oracle
@thomsonreuters @Volkswagen @ascena @Tesco @TechMahindraBangalore
Pinned Repositories
census_income_prediction
The case study is a traditional supervised binary classification problem based on the UCI Machine Learning Repository "adult" dataset.
chat-with-web-llm-app
Frog Bot - It is a conversational AI application built using Streamlit and LangChain technologies. It allows users to interact with an AI agent trained on website content to provide informative responses to user queries.
deploy-docker-gesture-recognition
We aim to deploy gesture recognition model on docker with Flask
deploy-yolov3-aws
We deploy an object detection model on AWS using flask.
Ecom-Market-Mix-Model
To build a MMM for ElecKart Ontario based ecommerce company
Ecommerce-Recommendation-System-
Recommendation System for an Online Beer Company
GestureRecognitionUsingDeepLearning
This project involves building a 3D Neural Network to correctly recognize hand gestures by a user to control a smart TV.
PGDDS-Capstone-Project
Credit Card Fraud Detection Project
TimeSeries-Inventory-Forecasting
Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to do capacity planning and prepare for peak volume at the granularity level of week/channel/location.
Vehicle-detection-tracking-and-classification
Vehicle detection, tracking and classification from video feed
Ashutosh27ind's Repositories
Ashutosh27ind/TimeSeries-Inventory-Forecasting
Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to do capacity planning and prepare for peak volume at the granularity level of week/channel/location.
Ashutosh27ind/deploy-docker-gesture-recognition
We aim to deploy gesture recognition model on docker with Flask
Ashutosh27ind/deploy-yolov3-aws
We deploy an object detection model on AWS using flask.
Ashutosh27ind/GestureRecognitionUsingDeepLearning
This project involves building a 3D Neural Network to correctly recognize hand gestures by a user to control a smart TV.
Ashutosh27ind/census_income_prediction
The case study is a traditional supervised binary classification problem based on the UCI Machine Learning Repository "adult" dataset.
Ashutosh27ind/chat-with-web-llm-app
Frog Bot - It is a conversational AI application built using Streamlit and LangChain technologies. It allows users to interact with an AI agent trained on website content to provide informative responses to user queries.
Ashutosh27ind/Ecommerce-Recommendation-System-
Recommendation System for an Online Beer Company
Ashutosh27ind/MIMIC_EHR_Predictor
This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
Ashutosh27ind/ner-lstm-iob2
This project leverages LSTM neural networks to perform NER on the IOB2 dataset.
Ashutosh27ind/RFM_CLTV_Customer_Analysis
Goal i s here to create RFM customer segments and find CLTV for existing customers
Ashutosh27ind/Vehicle-detection-tracking-and-classification
Vehicle detection, tracking and classification from video feed
Ashutosh27ind/deploy-heroku
Deploy ML models in Heroku using Flask
Ashutosh27ind/hiveCaseStudyNYCYellowTripData
The purpose of this dataset is to get a better understanding of the taxi system so that the city of New York can improve the efficiency of in-city commutes.
Ashutosh27ind/ML_Model_Deployment_Flask
Deploy a Machine Learning models in production as APIs(Flask)
Ashutosh27ind/acquisition_analytics_bank_marketting
Building a response model based on the Portuguese bank marketing data set from UCI
Ashutosh27ind/airflow-cert-dag-authoring
This repository contains examples and template files for DAG Authoring
Ashutosh27ind/Ashutosh27ind
GitHub config file for profile
Ashutosh27ind/AutoTS-Algorithms
Evaluation and review of various popular Auto Time Series Algorithms - Fbprophet, DART and PyCaret
Ashutosh27ind/BFS_credit_default_prediction
In this project, task is to help banking organization to identify the right customers using predictive models. Using past data of the bank’s applicants, you need to determine the factors affecting credit risk, create strategies to mitigate the acquisition risk and assess the financial benefit of the project.
Ashutosh27ind/chestXRayImagesAnalysisUsingCNN
Working with Chest X-Ray (CXR) images : Medical Imaging
Ashutosh27ind/dataVisualizationUsingPython
Visualization techniques and examples for multiple data types
Ashutosh27ind/nlp_rasa_foodbot
A rasa open source chatbot that takes user queries and returns the best restaurants in the area using Zomato API
Ashutosh27ind/OCR_Using_Deep_learning
Use of Deep Learning for Optical Character Recognition
Ashutosh27ind/POS-Tagging-Viterbi
HMMs and modified Viterbi algorithm for Parts of Speech tagging
Ashutosh27ind/predict-customer-product-preference
To build a predictive model to predict the probability that a given customer will buy a "printer-related product."
Ashutosh27ind/predictingDowJones1-D_CNN_RNN
Use Reddit News Headlines to predict the movement of Dow Jones Industrial Average.
Ashutosh27ind/readingDigitalImagesOpenCV
Reading grey scale and colour images
Ashutosh27ind/sagemaker-dashboards-for-ml
streamlit dashboard and sagemaker setup on AWS
Ashutosh27ind/Text-Clustering-API
Implementation of a text clustering algorithm using K-Means clustering in order to derive quick insights from unstructured text. Deployment using Docker and Flask API.
Ashutosh27ind/topic_modelling_lda
We will do topic modelling using the gensim implementation of Latent Dirichlet Allocation for varieties of open source text datasets,