Anthony Christian's Projects
In this repository, I use the Automotive dataset. Here I apply a data cleaning method to clean null and outlier data in a dataset.
In this repository, I use the Avocado dataset. Here I apply the simple EDA method used in finding insight into data.
This repository is my training project in creating a chatbot. Creating a chatbot of course requires things that need attention such as language, effectiveness, and automation.
In this repository, I use the common apps dataset. Here I use the EDA method and use the data cleaning method.
In this repository, I do a more complex visualization using a little basic from DAX to produce a more interesting and insightful visualization.
In this repository, I implement DAX in analyzing data in Power BI. Everything in this repository is the result of training and exploration to maximize DAX as an analysis tool in Power BI.
In this repository, using the DVDRental dataset. In the process, I use SQL methods such as select, where, join, count, and various other SQL methods.
In this repository, I tried several types and types of visualizations that are included in Power BI. In power BI itself, there are many types of visualization that can later help us gain insight.
In this repository, I try to use the fuzzy-wuzzy method to be able to do pattern matching to divide the data in a column into a more general category.
In this repository, I use the House dataset. Try to predict house prices using machine learning. In this project, learning machines are used to be able to predict accurately in determining the price of the desired home. Judging from the criteria, price, and facilities the customer wants.
In this repository, I use an insurance dataset. Here I try to do a statistical analysis by looking at the outliers and testing the statistics to see the p-value using jupyther notebook.
In this repository, I use the SKLearn library to do topic modeling.
In this repository, I learned to try to make a website. In this repository, I use HTML and CSS to build a website
In this repository is use case 2, here I am trying to explore more of the visualizations provided by Power BI.
This is a python exercise for beginning python learning. In the repository at I try to make the output that contains my name, address, and DOB.
This repository uses web scraping techniques on power bi, then uses the power query editor in Power BI to tidy up the data, which will then be visualized.
In this repository, I use the telco dataset. In this project, I try to see the correlation or relationship between columns.
In this project, I collaborated with my friends to try to create a machine learning that can predict a churn. In this repository, the data used is Telco data.
In this repository, I implement a data preparation process. Data preparation is the stage where we prepare data for machine learning processes or other things related to data analysis.