DebershiMitra

LaonTap---Logistic-Regression

Machine Learning Project- Logistic Regression

Mistral-7B

I developed and implemented a system leveraging AWS services, particularly boto3, to invoke the Mistral 7B model for inference tasks. This involved constructing and sending requests formatted in JSON, with error handling integrated using botocore.exceptions.ClientError and logging mechanisms.

Data-Vizualization

MLflow

Business-Case-Scaler---Clustering

Problem Statement Scaler is an online tech-versity offering intensive computer science & Data Science courses through live classes delivered by tech leaders and subject matter experts. The meticulously structured program enhances the skills of software professionals by offering a modern curriculum with exposure to the latest technologies.

Text-Classification

Certificates-and-Honours-

Pdfs-Summarization-for-Long-Documents-using-Langchain-and-Sentence_Transformers

In this code implementation, we aim to summarize long documents using both extractive and abstractive techniques. Extractive summarization involves selecting important sentences directly from the text, while abstractive summarization involves generating new sentences that capture the essence of the document.

100-days-of-machine-learning-self

A-Data-Science-Framework-To-Achieve-99-Accuracy

DebershiMitra/Debershimitra.github.io

Portfolio website

DebershiMitra/Flask

DebershiMitra/Streamlit

making a POC application using Srtreamlit

DebershiMitra/Neural-Networks

DebershiMitra/A-Data-Science-Framework-To-Achieve-99-Accuracy

DebershiMitra/Text-Classification

DebershiMitra/MLflow

DebershiMitra/Intro-to-ML

DebershiMitra/NLP

DebershiMitra/Business-Case-Scaler---Clustering

Problem Statement Scaler is an online tech-versity offering intensive computer science & Data Science courses through live classes delivered by tech leaders and subject matter experts. The meticulously structured program enhances the skills of software professionals by offering a modern curriculum with exposure to the latest technologies.

DebershiMitra/recommendation-systems

Ecommerce recommendation system

DebershiMitra/certificate-EDA-Fundamentals

DebershiMitra/Data-Vizualization

DebershiMitra/Pdfs-Summarization-for-Long-Documents-using-Langchain-and-Sentence_Transformers

In this code implementation, we aim to summarize long documents using both extractive and abstractive techniques. Extractive summarization involves selecting important sentences directly from the text, while abstractive summarization involves generating new sentences that capture the essence of the document.

DebershiMitra/Contextual-AI-Based-Search-Engine-with-GROQ

This code snippet demonstrates the implementation of a contextual AI-based search engine utilizing the Groq library. Groq is a powerful tool for querying and extracting relevant information from various data sources.

DebershiMitra/Django-Models-for-Collaborative-Project-Management-System

This Django models script lays the foundation for a collaborative project management system.

DebershiMitra/Automated-Key-Point-Extraction-using-OpenAI-Chat-Model

This Python script facilitates the automated extraction of key points from a given textual context using OpenAI's language model. It imports necessary modules for interacting with the language model and handling environment variables. The core functionality is encapsulated within the extract_key_points_from_response function.

DebershiMitra/Generation_of_summaries

this script allows for the automated generation of summaries from conversations, providing flexibility in choosing between different AI models for the task. It follows a structured approach, including clear instructions for generating summaries and handling different summary types

DebershiMitra/Classifier_OpenAI

This code snippet is part of a Python script designed to classify user requests into specific categories using the OpenAI API.

DebershiMitra/Tavily-API

DebershiMitra/Vector_Indexing_faiss

Developed Python scripts for text chunking, embedding generation, and vector indexing using numpy, faiss, and Sentence Transformers libraries.

DebershiMitra/Slack-bot

DebershiMitra/OpenAI-APIs

DebershiMitra/Mistral-7B

I developed and implemented a system leveraging AWS services, particularly boto3, to invoke the Mistral 7B model for inference tasks. This involved constructing and sending requests formatted in JSON, with error handling integrated using botocore.exceptions.ClientError and logging mechanisms.

DebershiMitra/Deep_learning-Projects

DebershiMitra/Beak-Test-App

DebershiMitra/100-days-of-machine-learning-self

DebershiMitra/Decision-Trees-Algo

DebershiMitra/Scaler-machine-Learning

all about scaler machine learning ongoing classes

DebershiMitra/Sk_learn_library

Deep Dive into Sk_learn