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Name: Bhuvaneswari.R
Type: User
Bio: I'm a Data Science and Machine Learning Enthusiast. .Currently focusing on Learning and applying Machine Learning Models.
Name: Bhuvaneswari.R
Type: User
Bio: I'm a Data Science and Machine Learning Enthusiast. .Currently focusing on Learning and applying Machine Learning Models.
In this project we will be predicting whether the customer will subscribe to the insurance or not from the insurance company. we have a marketing Dataset ,from that we are building a ML model to predict whether customers buy or not beforehand and specifically target via calls.
In this project we will see how to extract texts from images using one of the best python library EasyOCR. OCR stands for Optical Character Recognition, which can capture and convert images into Texts. Finally we are deploying a Streamlit app to show how it works.
Automatic_MCQ_generator This project is all about how to generate An Automatic mcq generator ai , how its built and what are the techniques used.We can use Large language models like openAi gpt2 and gpt3 and so on .but here using Bert language model,the question and answers are framed.
It is an web app created for students, It contains feedback generator, study planner, Pdf chatbot which is implemented using streamlit
In this project we will be seeing how to extract data from the Phonepe pulse repo using github cloning, store it in a data base and retrieve it ,do visualization for analysis of digital transactions happened till last year in phonepe. We will be using Mysql database,and plotly,seaborn for visualization and streamlit to deploy the web app.
Use this template repository to write time series data ingestion pipelines
This is youtube data harvesting project using ETL pipeline there are certain procedures to scrape the youtube data. This involves Storing and retrieving the data from My Sql, and Mongo-db. Querying the tables created to get an insight of the data and finaly deploying the Streamlit App
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Open source projects and samples from Microsoft.
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China tencent open source team.