Pinned Repositories
AI_Codes
Azure-AI-Services-Projects
Azure-AI-Studio
Completing the exercises & exploring service offered by Azure AI.
Benin-MultiModal-Challenges
DAA_Codes
Deep-ML-Leet
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.
DMA-Codes
Flight-Analysis-S4DS
MLOps-Practice
prnvpwr2612's Repositories
prnvpwr2612/Flight-Analysis-S4DS
prnvpwr2612/MLOps-Practice
prnvpwr2612/AI_Codes
prnvpwr2612/Azure-AI-Services-Projects
prnvpwr2612/Azure-AI-Studio
Completing the exercises & exploring service offered by Azure AI.
prnvpwr2612/Benin-MultiModal-Challenges
prnvpwr2612/DAA_Codes
prnvpwr2612/Deep-ML-Leet
prnvpwr2612/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.
prnvpwr2612/DMA-Codes
prnvpwr2612/Explorer-TDSP
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.
prnvpwr2612/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/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.
prnvpwr2612/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.
prnvpwr2612/Keras-Work
prnvpwr2612/Music-Generator
prnvpwr2612/PL2-Pracs-Codes
prnvpwr2612/prnvpwr2612
Config files for my GitHub profile.
prnvpwr2612/PyTorch-fastai-Projects
prnvpwr2612/Question-Answer-Pair-Generator