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Sneha S

Sneha-mav

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Jupyter Notebook67%Python33%

Repositories

20
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Sneha-mav/Databricks-lakeflow-pipeline

No description provided.

Python00Updated 6 days ago
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Sneha-mav/NYC-Taxi-pyspark-P1

No description provided.

Jupyter Notebook00Updated 2 weeks ago
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Sneha-mav/Sneha-mav

README.md

00Updated 1 month ago
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Sneha-mav/event-driven-image-etl-aws

A fully serverless, event-driven ETL pipeline that processes images uploaded to S3 and routes notifications through SNS based on image category. The system automatically validates file type, extracts metadata, categorizes images, and writes structured JSON output — all without servers or manual processing.

Python00Updated 2 months ago
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Sneha-mav/ev-zone-mapping-routing-delhi

A geospatial modeling project that maps electric vehicle (EV) charging stations in Delhi using zone-based grid partitioning. It includes functionality to assign vehicles to the nearest station based on their coordinates and estimate traffic-aware sub-zones in densely populated areas. Built with Python, Pandas, and Folium for visualization.

Jupyter Notebook00Updated 7 months ago
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Sneha-mav/ev-discharge-and-range-prediction

A machine learning-based framework for predicting electric vehicle (EV) battery discharge rate and estimating driving range using synthetic and real-world vehicle data. This project integrates performance metrics, battery parameters, and environmental conditions to build regression models using Linear Regression, Random Forest, and XGBoost.

Jupyter Notebook00Updated 7 months ago
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Sneha-mav/Heart-Disease-Prediction

Heart Disease prediction model using Logreg ,DT & RF

Jupyter Notebook00Updated 10 months ago
decision-treesheartdisease-predictionlogistic-regressionrandom-forest
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Sneha-mav/Churn-Prediction-AutoML

Customer Churn Prediction for IBM churn dataset using H2O AutoML

Jupyter Notebook00Updated 10 months ago
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Sneha-mav/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis through multiple ML approaches

Jupyter Notebook00Updated 10 months ago
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Sneha-mav/Movie-Recommendation-System-CF-CBF

Movie Recommendation System Using Two approaches Collaborative Filtering ( CF ) & Content-Based Filtering ( CBF )

Jupyter Notebook00Updated 10 months ago
collabrative-filteringcontentbasedfilteringdata-sciencemovie-recomendation-systempython
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Sneha-mav/Iris-Flower-Classification

Iris Flower Classification using all principle algorithms from logreg to Naive Bayes

Jupyter Notebook00Updated 10 months ago
gridsearchcviris-classificationrandomsearch-cv
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Sneha-mav/pyrixFork

🌐 Personal Blog Site Made with SvelteKit & Sanity CMS

00Updated 1 year ago
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Sneha-mav/AutomaDeskFork

Desktop Files Organizing Automation

Python00Updated 1 year ago
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Sneha-mav/scrape-upFork

A web-scraping-based python package that enables you to scrape data from various platforms like GitHub, Twitter, Instagram, or any useful website.

Python00Updated 1 year ago
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Sneha-mav/Trading-BotFork

Binary Trading AI Bot is a project idea aimed at developing an AI-powered bot for binary trading. The bot utilizes machine learning algorithms to predict the direction of the next candle (whether it will move up or down) with high accuracy.

00Updated 1 year ago
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Sneha-mav/awesome-generative-ai-apisFork

A curated list of useful Generative AI APIs for developers

00Updated 1 year ago
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Sneha-mav/CareerZunction_InternFork

CareerZunction, an open-source platform, offers 200+ internships. Its user-friendly interface enables students to access career resources and foster professional growth. By connecting students with diverse opportunities, it empowers them in their career journeys.

00Updated 1 year ago
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Sneha-mav/articulus_ragFork

No description provided.

00Updated 1 year ago
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Sneha-mav/ThereForYouFork

ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.

00Updated 1 year ago
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Sneha-mav/Hedging-of-Financial-DerivativesFork

This strategy works for every market condition irrespective of the movement

00Updated 1 year ago

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