harashtaht Goto Github PK

clevertap-support-snippets

customersegmentation

Implementing Multi Classification Machine Learning model to predict Customer Segmentation in Automobile Company products, as well as doing Exploratory Data Analysis over each features to determine which metadata influence the spending score.

employeeattritionibm

This is my Machine Learning final project for Job Connector Data Science Program of Purwadhika School. The objective is to create the best Machine Learning Model to predict Employee Attrition Rate in a company, using Classification. The dataset used is obtained from Kaggle, which is generated by IBM Data Scientists.

fundamentalexercise

Exercising the fundamental of Python.

fundamentalsql

Exercising Fundamental of SQL.

gmail_extractor

A Python powered Gmail mailbox extractor tool. Use this to extract all emails and attachments of a Gmail mailbox.

latihan_git_ds04-1

Testing git readme.

machine-learning-using-python

Open Machine learning Projects

movierecommendation

Movie Recommendation Simple Tutorial Using Content-Based and Collaborative-Based System.

preliminarytest

Kulina Data Engineer Preliminary Test.

remedial_fundamental_harashta

Ujian remedial Fundamental 1

statistic101

Notes and Exercise on Statistics Class from Udemy.

tugas_1709_purwadhika

Generating Stars using Python.

tugas_modul2

Assignment for Purwadhika Data Science Module #2. A simple Python program to convert JSON files to CSV and updating it to MongoDB and MySQL databases.

ujian-fundamental-harashta

My Answer for Data Science Module #1 Test: Fundamental of Programming.

ujian-moduldua-harashta-ds04

My answer for Data Science Module #2 Test for Data Analysation and Visualization.

ujian_machine_learning

My answer for Data Science 3rd Module Test in Machine Learning. In #1 is Machine Learning Modeling for predicting potential football player. #2 is Webscraping Digimon Files to be generated into JSON file. #3 is the Flask App for Digimon Battle prediction.