Collection of all my Kaggle Notebooks
This project was designed to understand the statistical effects of longer wait times on uber rides. Particularly on the user and driver experience with the Uber Pool System.
Documentation: Hands-on workshop guide with Simon Worthington (NFDI4Culture @OPEN Science Lab, TIB Hannover) Monday, 20 February 2023 - ADA CP Prototype documentation
This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.
🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
A comprehensive analysis and forecasting project on historical gold prices from January 2014 to January 2024. Includes time series analysis, predictive modeling, trading strategy development, market sentiment analysis, and statistical analysis.
This my output for the first task of the sparks foundation Data Science And Business Analytics internship.
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🚗 Analyze the impact of longer wait times on rider and driver experiences in the Uber Pool system through statistical insights.
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