Tejaswi Dabas's Projects
This innovative application automates the creation of personalized cover letters, intelligently aligning a candidateโs qualifications with specific job requirements.
๐ Abalone Age Prediction: Dive into Data, Surf on Insights! ๐ Unleash the power of predictive analytics on abalone age estimation! From meticulous data exploration to a showdown of optimization methods, this repo is your gateway to accurate age predictions using physical measurements using Pysaprk. ๐๐ฎ
This repository provides a comprehensive example of training and deploying an XGBoost model using Amazon SageMaker. The Jupyter Notebook guides users through the entire process, from importing necessary libraries, creating an S3 bucket, and downloading datasets to training the model, deploying it as an endpoint, and making predictions.
BERTunes-Classifier: Developed a music genre classification system achieving 93% accuracy using machine learning algorithms and textual analysis of song lyrics.
Bangalore house prediction
R Project
This repository houses the culmination of research and exploration into the realm of data mining, conducted using Python.
๐ฝ๏ธ Gourmet Delights SQL & Looker Insights ๐ Dive into the world of gastronomy with Gourmet Delights! ๐โจ Uncover the secrets of a successful restaurant business through meticulous SQL analysis and dynamic Looker dashboards. From order and sales metrics to ingredient insights and staffing optimization, this project serves up a visual feast.
A resource for learning about Machine learning & Deep Learning
R package - MSstats
This Repo contains the entire codebase for training the WallStreetWhisperer LSTM model on NASDAQ stock data. Dive into the intricacies of LSTM mastery and stock predictions.
This GitHub repository hosts a project focused on predicting taxi fares in New York City using machine learning techniques, encompassing data exploration, preprocessing, model building (including linear regression and regularized regression), evaluation, and submission of predictions.
This repository contains tutorials about important python libraries: pandas, numpy, matplotlib, seaborn, plotly, cufflinks, BeautifulSoup, DateTime.
Explore top-paying data analyst roles and in-demand skills using SQL to navigate the job market effectively.
Detect and classify toxic behavior in social media comments using a bidirectional LSTM-based neural network. Achieved precision of 0.932 and recall of 0.733. Applications include customer service, reputation management, and market research. Real-time predictions available via a Gradio app. Future scope includes multi-lingual sentiment analysis.
Config files for my GitHub profile.
This project analyzes telehealth usage during COVID-19, showcasing its pivotal role in pandemic management. Using Python, it delves into telemedicine practices and effectiveness, highlighting its significance in delivering essential services and shaping future healthcare.
This GitHub repository houses a YouTube Data Engineering Analysis project focusing on efficiently managing, analyzing, and visualizing structured and semi-structured YouTube video data to extract valuable insights.
This project aims to integrate and leverage advanced machine learning techniques, including novelty detection for anomaly identification, supervised learning for Remaining Useful Life prediction, and failure prediction, to create a unified system for predictive maintenance.