hermawanhermawan Goto Github PK

a-b-testing

Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.

building-chatbots

credit-card-approvals

Build a machine learning model to predict if a credit card application will get approved

credit-card-customer-segmentation

Clustering Customers on the basis of their credit card use by utilizing unsupervised algorithms such as PCA and K-Means

credit-risk-modeling-python

Modeling Credit Risk by using Python

customer-churn-in-power-bi

Investigating a dataset from an example telecom company called Databel and analyze their churn rates

customer-churn-in-tableau

This Tableau case study investigates a dataset from an example telecom company called Databel and analyze their churn rates.

debts-analysis

Play bank data scientist and use regression discontinuity to see which debts are worth collecting

djangovet

This repo is intended for use with "Deploy Your App to PythonAnywhere" article.

front-end-project

godot

Godot Engine – Multi-platform 2D and 3D game engine

hermawanhermawan.github.io

Website for HermawanHermawan

machine-translation

Exploring the inner workings of a machine translation model by using Keras, a Python-based deep learning library. In this project, model is trained to perform an English to French translation.

movie-similarity

Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity

optimize-retail-revenue

Analyze product data for an online sports retail company to optimize revenue by using SQL

optimizing-retail-revenue-in-sql

Analyze product data for an online sports retail company to optimize revenue.

predict-sales

Predicting the Sale Price of Bulldozers using Machine Learning

predicting-box-offices

Explore Disney movie data, then build a linear regression model to predict box office success

probability-of-default-model

Modelling Probability of Default (PD Model) by applying Logistic Regression

r-credit-risk

Simulating Credit Risk Modeling by using R

realtime-insight-socialmedia

Learn to analyze Twitter data and do a deep dive into a hot trend

search-interest-comparison

Manipulate and plot time series data from Google Trends to analyze changes in search interest over time

sharpe-ratio

Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio

song-classification

Rock or rap? Apply machine learning methods in Python to classify songs into genres

stock-sentiment

Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight

streamlining-employee-data

Use DataFrames to read and merge employee data from different sources

tweet-classification

Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!

uqwxd-react_labs

react_todolist

web-based-financial-graph

Building Candlestick Graph by using Python and Bokeh

webmaps-folium

Making use of Python and Folium Library to create Webmaps