Pranav Pawar's Projects
Completing the exercises & exploring service offered by Azure AI.
An autoencoder is a neural network architecture designed for unsupervised learning, capable of learning efficient representations of input data by reconstructing it through a bottleneck layer.
This repository showcases my individual efforts in a data science project focused on enhancing road safety, particularly for vulnerable road users such as pedestrians, cyclists, and motorcyclists. Through data analysis and exploration, I've aimed to derive insights and propose practical recommendations to improve road safety globally.
AutoViz is a Python library that automatically analyzes your dataset and generates various charts to visualize its features in just one line of code.
Config files for my GitHub profile.
Developing a football match prediction system for Serie A by scraping and analyzing team statistics, then evaluating the accuracy of predictions against actual match outcomes for comprehensive performance assessment.
Prophet is an open-source forecasting tool developed by Facebook for time series analysis, known for its simplicity, automatic seasonality detection, and incorporation of holiday effects. In this project, I have used time series analysis to get insights upon electricity usage in 2015 and made predictions based on my findings.