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Divyanshu Singh's Projects

data-science-and-machine-learning-projects-dojo icon data-science-and-machine-learning-projects-dojo

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

expenditure_prox icon expenditure_prox

Masters dissertation project. Uses web-scraping and unsupervised learning to cluster products from an online retail store into groups of estimated expenditure. The project comprises of a range of modules that I have created in order to gather the results, which are found in notebooks/modelling/RESULTS_book.ipynb

humanactivityrecognition_cnn_lstm icon humanactivityrecognition_cnn_lstm

This repository contains the code and resources for Human Activity Recognition (HAR) using Long-term Recurrent Convolutional Networks (LRCN) and Convolutional LSTM (ConvLSTM) models.

market-basket-analysis-on-the-online-retail-data icon market-basket-analysis-on-the-online-retail-data

Providing a Retail Business with a strategy which helps improve their product sales, inventory management, and customer retention, which in turn would improve the profitability of the business. https://kkrusere-market-basket-analysis-on-the-online-re-mba-app-oi5iot.streamlitapp.com/

market_segmentation_onlineretail icon market_segmentation_onlineretail

This repository contains the code and resources for a large-scale predictive market segmentation project using machine learning and data analysis techniques. The project aims to segment a vast dataset of customer information into meaningful groups and predict their future behavior.

ml-concepts icon ml-concepts

This repo is all about the implementation of various ML algo

open-geo-tutorial icon open-geo-tutorial

Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)

plantdiseaseclassification_usingtransferlearning icon plantdiseaseclassification_usingtransferlearning

This repository contains the code and resources for a plant disease classification project. The goal of this project is to develop a deep learning model that can accurately classify different types of crop diseases based on images of plant leaves.

used-phone-price-prediction icon used-phone-price-prediction

A machine learning model is developed that can accurately predict the resale price of used mobile phones based on various features such as the model, age, condition, and phone specifications.

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