A complete machine learning project to detect fraudulent credit card transactions. It includes data preprocessing, feature scaling, model training (Logistic Regression), evaluation, and deployment using Streamlit. Built with modular, production-ready code and a simulated dataset for privacy-safe demonstrations.

Gradient descent algorithm from scratch for linear and logistic regression with feature scaling and regularization.

Oversampling Class Imbalance, Feature Scaling, Parameter Tuning, Assessing Model Performance

This repository contains files for a regression analysis of housing prices in Ames, Iowa.

A Python implementation of Logistic Regression to classify social network ads based on age and estimated salary, featuring data visualization and performance metrics such as confusion matrix and accuracy score.

This project implements Support Vector Regression (SVR) to predict the salary of an employee based on their position level. The script uses a dataset that contains position levels and corresponding salaries, applying feature scaling to improve the performance of the SVR model. The results are visualized to show how well the model fits the data.

Predicting company bankruptcy using various machine learning models. The dataset is sourced from Kaggle: Company Bankruptcy Prediction.

A Machine Learning Approach of Emotional Model

We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.

We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.

📶In this repository, we will do feature engineering with Python.

A school bootcamp for hands on learning of Machine Learning

A new method of supervised feature scaling using decision tree

Linear regression model to predict the price of a car based on its mileage.

MLB Team Runs Allowed Prediction Project (Linear Regression)

This repository is a collection of basic code templates for Data Preparation. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.

Importing Dataset, missing data,

Data Analysis using Unsupervised Learning on Lyft dataset