Projects in Awesome Lists by MSThamizh

https://github.com/msthamizh/singapore-resale-flat-prices-predicting

Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.

exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 20 Nov 2024

https://github.com/msthamizh/airbnb_analysis

Developing a Streamlit application enabling users to explore and analyze Airbnb listing data. This application allows users to interactively visualize geospatial distributions of listings, analyze pricing trends, and explore availability patterns across different locations. Integrates MongoDB Atlas for data storage and PowerBi for advanced insights

data-analysis data-cleaning data-visualization json mongodb pandas-dataframe plotly powerbi python streamlit

Last synced: 18 Dec 2024

https://github.com/msthamizh/industrial-copper-modeling

Developing a Streamlit application that allows users to interactively predict sales outcomes using machine learning. The application supports both regression and classification tasks, enabling users to input various features and receive predictions for selling prices and status (WON/LOST).

exploratory-data-analysis machine-learning mongodb numpy pandas python streamlit

Last synced: 30 Dec 2024

https://github.com/msthamizh/horse-race-prediction

This project aims to predict the outcomes of horse races (e.g., "win" or "place") using machine learning techniques. The goal is to provide actionable insights into horse race performance through advanced data processing, machine learning models, and visualization tools.

data-preprocessing exploratory-data-analysis machine-learning python

Last synced: 27 Dec 2024

https://github.com/msthamizh/chicago-crime-analyzer

Developing a PowerBI dashboard that allows users to interactively analyze and predict crime patterns using machine learning. The supports crime trend analysis and enabling users to explore insights such as crime hotspots, peak hours, arrest rates, and incident locations while providing dynamic visualizations for enhanced decision-making.

data-preprocessing data-visualization exploratory-data-analysis machine-learning matplotlib powerbi python seaborn

Last synced: 27 Dec 2024

https://github.com/msthamizh/toxicity-detection-in-tweets

Developed a machine learning model to classify tweets as toxic or non-toxic using NLP techniques like tokenization, lemmatization, and TF-IDF vectorization. Evaluated multiple classifiers and analyzed performance using classification reports, confusion matrices, and ROC-AUC curves.

machine-learning natural-language-processing nltk python

Last synced: 27 Nov 2024

https://github.com/msthamizh/phonepe-pulse-data-visualization-and-exploration

Developing a Streamlit application that allows users to explore and analyze transaction data from the PhonePe Pulse dataset. The project aims to provide insights into digital payment trends across India.

data-analysis data-visualization dataframe mysql pandas plotly python streamlit

Last synced: 27 Nov 2024

https://github.com/msthamizh/health-prediction-model

Developed a machine learning model to predict an organism's health based on bio-marker measurements using Linear Regression and Support Vector Regression. Evaluated model performance with Mean Squared Error (MSE) and Mean Absolute Error (MAE) to provide accurate health predictions based on input features.

data-preprocessing machine-learning pandas python

Last synced: 27 Nov 2024

https://github.com/msthamizh/churn-rate-classification

Building a machine learning model to predict customer churn. The app allows users to input customer details and receive real-time predictions on whether a customer is likely to churn, supporting actionable insights for retention strategies. It employs advanced preprocessing, resampling, and classification models for accurate predictions.

data-preprocessing machine-learning pandas python

Last synced: 27 Nov 2024

https://github.com/msthamizh/predict-the-app-rating---regression

A machine learning model that predicts app ratings from the Google Play Store based on app details. It uses data preprocessing and regression techniques to provide accurate rating predictions, helping developers make data-driven decisions to improve app performance and user satisfaction.

data-preprocessing machine-learning pandas python

Last synced: 27 Nov 2024

https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr

Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.

easyocr mysql numpy pandas pillow python regular-expression streamlit

Last synced: 27 Dec 2024

Last synced: 27 Nov 2024

Ecosyste.ms: Awesome