waannuullll

8-week-sql-challenge

#8WeekSQLChallenge by Danny Ma.

coursera-py4e

Kumpulan file tugas dari kursus Python for Everybody di Coursera.

covid-19-viz

Visualize the rise of COVID-19 cases globally with ggplot2.

cust-movie-rating

Creating a customer segmentation using k-means clustering based on genre film rating from customer and find the best k using Hubert index and D index.

Data-Exploration-and-Numerical-Experimentation

dr-semmelweis

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

ecommerce-behaviour

Exploratory data analysis using big data (~14 GB data) about e-commerce activity and predict if user will buy the item using XGBoost with accuracy of 61%.

play-store

Load, clean, and visualize scraped Google Play Store data to understand the Android app market.

scat-coated-spheres

This program, which was compiled using the MATLAB application, is a program that can calculate cross sections and perform multipol decomposition of the case of electromagnetic wave scattering in a system of coated spheres. This program was made as my undergraduate final project. The theory used to explain this scattering case is the Mie theory.

scat-single-sphere

Program ini, yang dibuat dalam bentuk Graphical User Interface (GUI), merupakan program untuk menghitung respons penampang-lintang dari kasus hamburan pada satu buah bola. Aplikasi yang digunakan untuk membuat program ini yaitu MATLAB.

waannuullll/scat-coated-spheres

This program, which was compiled using the MATLAB application, is a program that can calculate cross sections and perform multipol decomposition of the case of electromagnetic wave scattering in a system of coated spheres. This program was made as my undergraduate final project. The theory used to explain this scattering case is the Mie theory.

waannuullll/play-store

Load, clean, and visualize scraped Google Play Store data to understand the Android app market.

waannuullll/telco-churn-prediction

Increased the ROC AUC score by 2.14% of predicting the churn of users in telecommunication company using hypertuning parameter and feature engineering.

waannuullll/8-week-sql-challenge

#8WeekSQLChallenge by Danny Ma.

waannuullll/coursera-py4e

Kumpulan file tugas dari kursus Python for Everybody di Coursera.

waannuullll/covid-19-viz

Visualize the rise of COVID-19 cases globally with ggplot2.

waannuullll/cust-movie-rating

Creating a customer segmentation using k-means clustering based on genre film rating from customer and find the best k using Hubert index and D index.

waannuullll/Data-Exploration-and-Numerical-Experimentation

waannuullll/dr-semmelweis

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

waannuullll/ecommerce-behaviour

Exploratory data analysis using big data (~14 GB data) about e-commerce activity and predict if user will buy the item using XGBoost with accuracy of 61%.

waannuullll/scat-single-sphere

Program ini, yang dibuat dalam bentuk Graphical User Interface (GUI), merupakan program untuk menghitung respons penampang-lintang dari kasus hamburan pada satu buah bola. Aplikasi yang digunakan untuk membuat program ini yaitu MATLAB.

waannuullll/linkedin-connection-visualization

Visualize my LinkedIn Connection using Plotly.

waannuullll/noble-prize-winners

Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

waannuullll/predict-cc-approval

Automatic credit card approval predictor using hypertuned parameter Logistic Regression with accuracy of 85.4%

waannuullll/scala-language

Find the true Scala experts by exploring its development history in Git and GitHub.

waannuullll/student-grade-prediction

Predict the student grade using linear regression and K-Neighbors classifications with each of the accuracy > 90%

waannuullll/super-bowls

Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.