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fickya1987's Projects

customer-purchase-behaviour-analysis-and-prediction icon customer-purchase-behaviour-analysis-and-prediction

This project entails Analysis of e-Commerce Customers Online Purchasing behaviours using RFM, Clustering using KMeans, Model Building and Prediction using NB, RF, SVM, XGB and ANN. Also, an Inference App had also been built using Streamlit

customerdashboard icon customerdashboard

Dashboard that was made with E-Commerce data analysis inside. Deployed with streamlit.

daily-task-tracker icon daily-task-tracker

This is a web app built using Streamlit to manage tasks, track progress, and increase productivity

data-visualizations-with-ipyvizzu-in-streamlit icon data-visualizations-with-ipyvizzu-in-streamlit

Data visualization is a crucial aspect of data analysis, enabling us to derive meaningful insights and effectively communicate our findings. In this article, we will explore the powerful features of Ipyvizzu, combined with the interactive capabilities of Streamlit, to analyze and visualize the Zomato Restaurants Analysis dataset.

demand_forecasting icon demand_forecasting

This repository provides a supply chain demand forecasting analysis using ARIMA, ETS, Prophet, and Neural Prophet algorithms. Built with Streamlit, it allows for easy testing and model selection. Load historical data, perform forecasting, and automatically select the best model. Not production-ready, for exploration purposes only.

dementia-risk-prediction-web-app.-using-ml-random-forest-neural-network-pytorch icon dementia-risk-prediction-web-app.-using-ml-random-forest-neural-network-pytorch

The project predicts dementia using a neural network, deployed as a Streamlit web app. Data includes diabetic status, alcohol level, heart rate, blood oxygen, body temperature, weight, MRI delay, prescriptions, dosage, age, education, dominant hand, gender, family history, smoking, APOE ε4, activity, depression, cognitive scores, medication etc.

demo-chatbot icon demo-chatbot

Demo chatbot implementing augmented retrieval generation with OpenAI, Langchain, Pinecone, and NextJS

dl_tiktokcommentssentimen icon dl_tiktokcommentssentimen

This project is a comprehensive sentiment analysis system designed to classify comments from TikTok videos, utilizing a robust tech stack that includes PySpark, Streamlit, and Firebase, with Kafka as the messaging backbone.

docsgpt icon docsgpt

GPT-powered chat for documentation, chat with your documents

dunhumby-the-complete-journey-dashboard icon dunhumby-the-complete-journey-dashboard

This project analyzes household transactions from 2,500 frequent shoppers over two years, including demographics and marketing history. It features a Streamlit dashboard with pages for Data exploration, demographic insights, product data, and sales data. It also has a notebook for data management and processing.

e-commerce_faq icon e-commerce_faq

An automated FAQ chatbot for an e-commerce platform. Made using LangChain, Gemini Pro, ChromaDB & Streamlit.

ecommerce-analytics icon ecommerce-analytics

Web application include metrics related to the full customer journey from discovery, to acquisition, to conversion, finally to retention and advocacy.

ecommerce_satisfaction_prediction_deployment icon ecommerce_satisfaction_prediction_deployment

This project is made around the data of 100k orders of a Brazilian e-commerce store "Olist". It includes EDA, customer satisfaction prediction, NLP of reviews, clustering and RFM analysis along with the project deployment in Streamlit.

emission icon emission

Emission plotting web app with streamlit

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