Machine Learning

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

The four different types of machine learning are:

Supervised Learning.
Unsupervised Learning.
Semi-Supervised Learning.
Reinforced Learning

Recent Projects

Project 1: Health Insurance Cost

Health Insurance Cost Project, I explored and visualized data, then created different machine learning models and compared their performances To find the best one which is Gradient Boosting Regressor, finally save Model using Joblib.

Project 2: Predicting churn for Bank Customers

Bank customer churn prediction involves using data analytics and machine learning techniques to analyze customer behavior and identify potential churners ,so i explored and visualized data, then created machine learning models using Random Forest Classifier and Logistic Regression ,also I compared their performances To find the better which is Random Forest Classifier , finally save Model using Joblib.

Project 3: Corona Cases

CART algorithm, which is used in this project for regression analysis,and can be applied to predict a categorical target variable producing a classification tree, or continuous target variable producing a regression tree. We have used this method to explain the statistics of corona cases around the world depending on region specificities.

Python Script

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To Learn more you can find my new Projects in my Kaggle , which is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.

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Machine Learning with Python