Repository for my 2018 summer internship at GDP Labs, Indonesia about Generative Adversarial Network

CONTAINS CLUSTERING ALGORITHMS

CPRISMA (version 1.0, 2021) is a bioinformatics program that gives color to multiple sequence alignment based on an input of numerical data.

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

This repository introduces two novel CP approaches for mining closed interval patterns directly from numerical datasets. Unlike existing methods that require pre- and post-processing steps to handle numerical data, our models perform pattern mining seamlessly, preserving information integrity.

Transforming Numerical Data to Images for Deep Networks.

Exploratory data analysis (EDA) NOTES

This is a binary classification problem. Given the data, one needs to predict that if a user is going to click an advertisement or not.

Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.

A simplified algorithm to cluster mixed-type data(numerical and categorical).

Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2