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1. Dynamic-Streamlit-Data-Science-Project Dynamic-Streamlit-Data-Science-Project Public

   This project aims to develop a machine learning model using different datasets dynamically and with minimal code repetition. It includes data preprocessing, model selection and evaluation, as well …

   HTML

2. Audiobooks_Data Audiobooks_Data Public

   The goal of this data science project is to build a machine learning model that predicts whether a customer of an audiobook app will make another purchase or not. The data includes information abou…

   Jupyter Notebook

3. Finding_Excessive_Absenteeism Finding_Excessive_Absenteeism Public

   This data science project aims to identify factors contributing to excessive absenteeism in the workplace using an absenteeism dataset. The goal is to develop a predictive model that can accurately…

   Jupyter Notebook

4. Snake_Game_Reinforcement_Learning Snake_Game_Reinforcement_Learning Public

   This project implements a Snake game reinforcement learning model using Deep Q-Networks with the PyTorch library in Python. The model uses a neural network to predict the optimal action-value funct…

   Python

5. PySpark-House-Price-Prediction PySpark-House-Price-Prediction Public

   PySpark House Price Prediction features a PySpark-based Linear Regression model for predicting median house prices. It showcases data preprocessing, model training, and evaluation, yielding an RMSE…

   Jupyter Notebook

6. Sector-based-Time-Series-Classification-and-Similarity-Analysis Sector-based-Time-Series-Classification-and-Similarity-Analysis Public

   Sector based classification with feature engineering and tsfresh. Looking 3 months momentum of stocks.

   Jupyter Notebook