Python
Zomato Data Analysis
Analysis of Zomato data to uncover trends and insights about restaurants and the customer preferences based on the online and offline orders.
Data Scientist, with expertise in data science and machine learning, dedicated to delivering data-driven projects and exceptional quality work.
Passionate about transforming Data into actionable Insights, I excel in Python, R, and SQL.
Analysis of Zomato data to uncover trends and insights about restaurants and the customer preferences based on the online and offline orders.
The goal of this project is to implement a Generative Adversarial Network (GAN) that can generate images similar to those in the Fashion MNIST dataset.
This project analyzes Twitter sentiments using the Sentiment140 dataset. It includes data cleaning, feature extraction with TF-IDF, and training a logistic regression model to classify tweets as positive or negative.
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