Fraud Check Analysis by Random Forest.
-
Updated
Sep 7, 2023 - Jupyter Notebook
Fraud Check Analysis by Random Forest.
Prediction model for Insurance Cost dataset by Regression
A case study on Weather Analysis during World War 2 by Machine Learning.
Bangalore House Price Prediction by KNN
Prediction model for Delivery Time by Simple Linear Regression
Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries.
Learning Python For Data Engineering
Data Analysis of iPhone Purchase Records by KNN.
Diwali-Sales-Analysis-Project
Predict salary of new employee by Polynomial Regression.
Data Analysis of Bank by Logistic Regression.
Linea De Enfasis Ciencia de Datos y Machine Learning
Health Analysis Report based on money spent on health and its impact on life expectancy.
The "kidney-stones-Detector" is an advanced system delivering precise detection and classification of kidney conditions including stones, cysts, tumors, and normal states from medical imaging data. With an impressive accuracy of 98.87%, this machine learning-powered models offer reliable insights for medical professionals.
Company Data Analysis by Random Forest.
Travel Data Analysis by ARIMA.
Prediction model for Salary Hike by Simple Linear Regression
This is a sophisticated app designed to analyze financial datasets and uncover market trends. Leveraging powerful tools like Python, Pandas, and Scikit-learn, this app offers deep insights into stock performance, helping investors and analysts make informed decisions. Explore data-driven strategies and stay ahead in the financial market.
Data Analysis of iPhone Purchase Records by Decision Tree.
Add a description, image, and links to the metplotlib topic page so that developers can more easily learn about it.
To associate your repository with the metplotlib topic, visit your repo's landing page and select "manage topics."