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Hello there 👋

I have a passion for data science, machine learning, and artificial intelligence, and I love to code in Python.

On my GitHub profile, you will find a collection of my personal projects and code repositories. I enjoy working on a variety of projects, from simple data analysis to complex machine learning models. I am always looking for new challenges and opportunities to learn and grow as a data scientist.

In my free time, I enjoy staying up-to-date with the latest developments in the field and exploring new technologies and techniques.

If you share my passion for data science and machine learning, feel free to connect with me or check out my projects on GitHub. I am always open to new connections and collaborations. Thanks for visiting my profile!

Languages and Tools:

python r-programming jupyter-notebook scikit_learn pandas seaborn tensorflow pytorch

Teuku Rizky Noviandy's Projects

feature-selection-guide icon feature-selection-guide

This repository provides a collection of Jupyter Notebook examples demonstrating various feature selection techniques using Python.

fsgamlr icon fsgamlr

Feature selection by Genetic Algorithm-Multiple Linear Regression implemented in Python

lung_cancer_prediction icon lung_cancer_prediction

A machine learning model capable of classifying the severity of lung cancer. The model trained using XGBoost

medical-insurance-cost icon medical-insurance-cost

Predict personal medical insurance cost using three ensemble methods (Random Forest, AdaBoost, and Gradient Boosting Tree) in python

ml-axl-kinase icon ml-axl-kinase

Bayesian Optimization-XGBoost to classify AXL Kinase inhibitor activity

pima-indian-diabetes icon pima-indian-diabetes

Predict whether or not a patient has diabetes, based on certain diagnostic measurements with Logistic Regression

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