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1. uk_flights_anomaly_detection uk_flights_anomaly_detection Public

   This project uses Prophet model to detect anomalies in the UK flight numbers. Early detection can help the stakeholders in better decision making and resource management.

   Jupyter Notebook

2. seoul_bike_sharing_demand seoul_bike_sharing_demand Public

   This project utilizes time series forecasting models, such as VAR and ARIMAX, to predict the bike share demand in Seoul. In turn, ensuring availability and minimizing waiting times for customers.

   R

3. emotion_detection_tweets emotion_detection_tweets Public

   This project deals with a unique dataset of tweets, each labeled with a range of emotions such as anger, joy, optimism, sadness, and more. The objective is to develop predictive models that can acc…

   Jupyter Notebook

4. Online_Shoppers_Purchasing_Intent Online_Shoppers_Purchasing_Intent Public

   E-commerce faces low conversion rates due to the lack of in-store personalization. This project aims to build a machine learning model to predict purchase behavior, addressing challenges like class…

   Jupyter Notebook

5. Second-Hand_Cars_Market Second-Hand_Cars_Market Public

   The project explores the complexities of the second-hand car market, highlighting key factors customers should consider when purchasing a used vehicle.

   Jupyter Notebook

6. sales_dashboard_powerbi sales_dashboard_powerbi Public

   This project builds a sales dashboard, analyzing it using different sales and marketing strategies, and making recommendations to boost sales.