I love using data to solve real-world problems and build predictive models.
Languages | |
Machine Learning | |
Data Analysis | |
Visualization | |
Web Development | |
Databases | |
Deployment |
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I love using data to solve real-world problems and build predictive models.
Languages | |
Machine Learning | |
Data Analysis | |
Visualization | |
Web Development | |
Databases | |
Deployment |
|
|
|
|
This project conducts sentiment analysis on tweets related to the coronavirus pandemic to gauge public opinion. Leveraging natural language processing techniques, it classifies sentiments as positi…
Jupyter Notebook
This project applies clustering techniques to categorize Netflix movies and TV shows, enhancing content discoverability. Utilizing K-Means and Agglomerative clustering algorithms, it analyzes metad…
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This project builds a predictive model to forecast bike-sharing demand based on various environmental and seasonal factors. By applying machine learning algorithms, the model helps optimize bike av…
Jupyter Notebook
Danny wants to use the data to answer a few simple questions about his customers, especially about their visiting patterns, how much money they’ve spent and also which menu items are their favourite.
This case study analyzes the CAERS dataset of adverse events related to foods, dietary supplements, and cosmetics from 2004 to mid-2017. It aims to identify patterns in these events and demographic…
This project analyzes Airbnb booking data to uncover trends in customer behavior, pricing strategies, and booking patterns. By leveraging data analysis and visualization techniques, it provides act…
Jupyter Notebook