GradientBoostingClassifier for predicting fraudulent transactions.

IBM Coursera Capstone Project - Predict Accident Severity Given Weather, Road and Lighting Conditions

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

Web Server Log Analysis

Here a predictive system has made to measure the sentiment of each review or tweet, whether it is 1 (Positive Sentiment) or 0 (Negative Sentiment). In this work, LGBM Classifier, XGBooost Classifier, CatBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, K-Nearest Neighbors, and Logistic Regression are used.

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

learning python day 15

Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset

A machine learning model that predicts diabetes risk based on patient health data, enabling early detection and proactive care.

Conhecido Desafio do Titanic completo resolvido passo a passo com 9 modelos de machine learning diferentes.

Text-mining

Social media fake accounts and spam accounts have become a huge problem these days. Some had spammed me twice on Instagram. Here I have used various Machine learning techniques to spot the fake/spam accounts

Advanced Machine Learning

This project utilizes machine learning techniques in Python to predict credit card approvals.

A collection of my machine learning projects, tutorial exercises, algorithm implementations, and related code.

Predicting the Popularity of Online News using numerous Machine Learning techniques along with a comparative analysis of their performances.

Using Kaggle's Titanic Dataset prediction of the survival of a particular person based on some parameters.

A Gradient Boosting Model-based tool to assess room rental prices in Singapore.

Telecome-Churn-PCA-And-Multiple-Models