prnvpwr2612,Pranav Pawar,github

👋 Hi, I’m Pranav.
👀 I’m a Deep Learning Enthusiast!:>
🌱 I’m currently learning Generative Modelling in DL as well as MLOps.
📫 How to reach me? Well here's my email-id :- [email protected]
😄 Pronouns: he/him
⚡ Fun fact: i know more about neural networks than about XG Boost Classifiers :)
🤓 Besides everything, I love to read books pertaining to GenAI/Prompt Engineering/DS/ML. (personally, I like books published by O'Reilly Publications a lot)

Pranav Pawar's Projects

azure-ai-studio

Completing the exercises & exploring service offered by Azure AI.

designing-autoencoders-for-kmnist

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.

exploring-autoviz

AutoViz is a Python library that automatically analyzes your dataset and generates various charts to visualize its features in just one line of code.

prnvpwr2612

Config files for my GitHub profile.

serie-a-data-scraping-and-prediction

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.

time-series-analysis-on-hourly-electricity-consumption

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.

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