Tejal's Projects
Audio Emotion Detection and Sentiment Analysis aims to classify the emotion present in an audio clip and predict the overall sentiment of the clip's textual content. The project is implemented in Python and uses machine learning and deep learning algorithms to analyze the audio features.
An end-to-end Machine Learning project that helps users to get an estimated selling price for their used car based on various features, which can help in making informed decisions when selling a car.
Implementing Common Deep Learning Neural Networks
Interior Illusions, uses AR to overlay 3D objects like furniture and interior design products over the real environment, enhancing the user's perception. It allows users to visualize their selection of objects inside their own room and to make a better evaluation of how it will fit in the room.
Implemented Traditional ML models for Regression and Classification using sklearn.
Customer centric businesses heavily rely on product reviews to improve theirβ product and maximize their market value. In this project we focus to perform sentiment analysis on the reviews to gauge the overall positive or negative valence of the review and then perform topic modeling to see what topics are prominent from the reviews for a particular movie.
A master repository that contains multiple NLP based projects.
NYC TLC Data Analysis using Python, GCP Storage, Compute Engine, Mage Data Pipeline Tool, BigQuery, and Looker Studio. Aims to extract insights from the dataset for informed decisions and deeper operational understanding.
Shopify Fall 2022 Data Science Challenge
When we look at any of our e-mail accounts, we often find that few emails are classified as spam. In this assignment, we are going to address this problem of detecting SPAM or HAM messages with the help of Naive Bayes algorithm.
Dive into a collection of SQL projects demonstrating my expertise in crafting efficient queries, conducting insightful data analyses, and solving intricate problems. It showcases my SQL query writing, data analysis and problem-solving skills as I I transform raw data into actionable intelligence.
Customer churn means those customers who are lost after purchase of products/services. Tele communication business is expanding and in order to survive in the competitive environment, the retention of existing customers is crucial. The cost of acquiring a new customer is far more that retaining the existing one, hence it is important to analyze and understand the factors affecting the churn.
TimeSeries-California-Female-BirthRates is a comprehensive analysis of time series data and forecasting methods through an examination of female birth rates in California.
About CineVerse, a React.js web app, offers a seamless, responsive platform for exploring a vast movie collection. With dynamic search, real-time updates, and robust API integration, it's your gateway to an immersive cinematic experience. Redefine how you discover the magic of movies!