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

GradientBoostingClassifier for predicting fraudulent transactions.

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

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.

Web Server Log Analysis

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

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

learning python day 15

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

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

Advanced Machine Learning

In this project, we will try to make a Credit Card Approval System using Machine Learning via python.

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

Telecome-Churn-PCA-And-Multiple-Models

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

Text-mining

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