Pravat Patra

No description provided.

No description provided.

No description provided.

No description provided.

Here it is shown that how we can do versioning of our data using DVC while the remote location will be in dagshub.

No description provided.

An end-to-end MLOps pipeline for emotion classification from tweets, implementing industry-standard practices including experiment tracking, model versioning, continuous integration/deployment, and containerization.

An interactive Streamlit dashboard for visualizing and analyzing India's Census Data with state-wise and district-wise demographic insights, sex ratios, and literacy statistics. Perfect for researchers, policymakers, and data enthusiasts seeking to understand India's demographic landscape.

This is the repository where I have kept all the files & folders used in order to build my portfolio.

Here, It is explained how we can version our code & data with DVC, Git & local folder for data storage.

No description provided.

No description provided.

This is the repository, where I have kept all the details which I have built in order to create my own remote MCP server which I have deployed & integrate with claude desktop.

In this repository, I have kept my own solutions , where I have been asked by my University Professor that I have to write the code of SVD & Gradient Decent without using their functions.

In this repository, I have kept all the files & folders which have been created in order to create an end to end report using power BI, Snowflake, Jupyter Notebook where there are some most important observations derived from the dataset given by client.

In this repository, I have kept all the files & folders which have been created in order to create an end to end report using power BI, Snowflake, Jupyter Notebook where Client could observe the overall KPIs of their banking data.

This is the final project, I have done in iNeuron intelligence Pvt. Ltd. during my internship. In this repository, I have kept all the files & folders which have been created in order to build an end to end machine learning Project, STORE SALES PREDICTION, where our application can predict the sales of a particular store.

In this repository, I have kept all the files & folders which have been created in order to build an end to end project DIMOND PRICE PREDICTION where based on some properties our application will predict the price.

In this repository, I have kept all the theoretical (basic & Advance) as well as practical implementation of query language (SQL) using both MySQL & Snowflake.

In this repository, I have kept all the solutions of tasks which have been asked from iNeuron Intelligence Pvt. Ltd, during my internship periods.

In this repository, I have kept all the files & folders which have been created in order to build an end to end machine learning Project, MOVIE RECOMMENDATION SYSTEM, where based on one movie, this application can recommend similar kind of movies.

In this repository, I am going to add more different kind of datasets which could be helpful for practicing some data analysis concepts like data cleaning, data manipulation, EDA & so on.

In this repository, I have kept all the theoretical & practical implementation of all the important topics (basic as well as advance)of Statistics & Probability.

In this repository, I have kept all the files & folders which have been created in order to build an end to end machine learning Project, EMAIL SPAM CLASSIFIER, where any type of email can be classified as spam or ham (means not a spam).

In this repository, I have kept all the files & folders which have been created in order to gather all the phone related data in tabular format using Web Scrapping techniques.

In this repository, I have kept all types of applications as well as theory of FastAPI .

In this repository, I have kept all the theory as well as practical implementation of Pydantic which is very much important for data validation.

In this repository, I have kept all the files which I have created in order to make the chatbot. Also, all the implementation of theoretical part of LangGraph.

In this repository, I have kept all types of applications of LangSmith with SimpleLLMs, RAG-based application, Agentic Application LangGraph & so on.

In this repository, I have kept all the theory as well as practical implementation of Agentic AI using LangGraph, HuggingFace.