Projects in Awesome Lists by HarshStats
A curated list of projects in awesome lists by HarshStats .
https://github.com/harshstats/conversion-optimization-a-b-testing-for-landing-page-effectiveness
This repository contains a project focused on optimizing landing page conversions through A/B testing. It includes data analysis, experiment design, and results interpretation to enhance user engagement and conversion rates.
Last synced: 18 Jun 2025
https://github.com/harshstats/demographic-data-analysis-project
This project analyzes global demographic trends using data from the International Database (IDB, 2024). The focus is on life expectancy and under-five mortality rates across 227 countries, comparing data from 2004 and 2024.
Last synced: 18 Mar 2025
https://github.com/harshstats/simulation-based-inference--simple-model-of-neuron-activation
Last synced: 23 Jul 2025
https://github.com/harshstats/chicken-disease-classification-using-mlops-dvc-pipeline-
The Chicken Disease Classification Using MLOps DVC Pipeline project utilizes the VGG16 architecture to analyze images of chicken fecal matter, enabling early disease detection and reducing economic losses in poultry farming.
agritech aws azure ci-cd computer-vision data-version-control deep-learning disease-detection docker dvc github-actions image-classification keras machine-learning mlflow mlops poultry-health python tensorflow vgg16
Last synced: 06 Mar 2025
https://github.com/harshstats/neural-network-from-scratch-with-only-numpy
Simple two-layer neural network for MNIST digit recognition, built from scratch using only NumPy. No TensorFlow or Keras. Includes forward/backward propagation, parameter updates, and accuracy evaluation. Great for learning neural network fundamentals
Last synced: 01 Jul 2025
https://github.com/harshstats/music-streaming-analytics-a-b-test-design
End-to-end music analytics project featuring interactive dashboards (Looker Studio), scalable SQL queries (BigQuery), and an A/B test design for user engagement.
Last synced: 04 Sep 2025
https://github.com/harshstats/berlin-marathon-performance-analysis
This report investigates age-related differences in finish times for female participants in the Berlin Marathon. The analysis spans six age groups and applies rigorous statistical methods.
Last synced: 18 Mar 2025