Analyzing and predicting the stock prices,multiple machine learning models, including LSTM (Long Short-Term Memory), Prophet, and others

Detects page flips from low-resolution camera preview and takes a high-resolution picture of the document, recognizing its corners and crops it accordingly

Generate insights and rankings for potential candidates

client subsection to a term deposit

Prediction of happy Customers based on Happiness Survey Data

Analyzing housing complaints in New-York-City and develop a forecasting model

Development and deployment of a Plotly Dash dashboard on Google Cloud Platform (GCP) and Heroku

Leverage the power of Apache Spark for large-scale data processing and analysis

By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data proc…

This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the proj…

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational an…

OlympianAnalytics uncovers Olympic trends, focusing on medal distribution by region, gender, and athlete attributes. It highlights dominance shifts and the role of inclusivity in sports, offering k…

Marketing strategies on the sales volume and average retail price (ARP) of Good Belly products. Using a dataset encompassing sales, promotions, and demographic information across multiple regions, …