Insan Cahya Setia's repositories
clean-messy-rooms
Predicting clean and Messy rooms using Tensorflow
credit-scoring-classification
Predict whether a person will default on a loan or not.
customer-churn-prediction
E-Commerce Customer Churn Prediction
sa-bootcamp
Shift Academy Data Science Bootcamp
auto-mpg
This is an exploratory data analysis for Auto-MPG dataset. Auto-MPG contains one line per car model and includes information such as the year of manufacture of the car (model_year), fuel efficiency (measured in "miles per gallon" or "mpg"), and origin (US, Europe, or Japan). The libraries that will be used this time are Pandas for data manipulation, Seaborn and Matplotlib for data visualization.
batch5
Ini batch 5
lead-scoring-classification
Predict the lead score for who is most likely to convert into a paying customer.
pima-indians-svm
In this project, the dataset used is Prima Indians Diabetes. This dataset was collected by the National Institute of Diabetes and Digestive and Kidney Diseases. The dataset contains 8 attribute columns and 1 label column which contains 2 classes, namely 1 and 0. The number 1 indicates the person is positive for diabetes and 0 indicates negative. The sample was 768 people consisting of 768 female patients of Indian Pima descent. The machine learning model that will be built aims to classify whether a patient is positive for diabetes or not.
police-activity-analysis
In this project, we will analyze traffic stop data in the state of Rhode Island collected by the Stanford Open Policing Project. The libraries we will use are Pandas for data manipulation and also Matplotlib for data visualization.
rock-paper-scissors-classifier
This project is an image classification application using Tensorflow and Keras. This dataset contains images of hand gestures from the game Rock-Paper-Scissors. In this project I created a machine learning model using the Convolution Neural Network from Tensorflow to classify Rock-Paper-Scissors data.
cleansing-data-with-regex
Melakukan pembersihan data menggunakan regex
customer-segmentation
Melakukan segmentasi customer menggunakan KMeans
data-science-test
data-science-test
data-sekolah
Project Mentoring Udacoding Week 2 dengan data sekolah
dqlab_course
Ini adalah DQLab module
dsls-mini-project-da
Repository ini merupakan syarat untuk pengumpulan Mini Project Data Analyst DSLS 2023
dsls-mini-project-de
Mini Project Data Engineer DSLS Bootcamp
dsls-mini-project-ds
Mini Project Data Science for DSLS 2023
github-stats-transparent
Automatically generate summary GitHub statistics images for your profile using Actions, no server required
image-scene-classification
Image Scene Classification
pca-python
Principal Component Analysis using Python
progate-course
Ini adalah Course Progate
sales-performance
Melakukan perbandingan performa dari setiap cabang di berbagai kota. Memfilter hanya 5 besar performa terbesar di Pulan Jawa,yaitu order size, customer count, product count, brand count, dan total belanja per bulan.
student-alcohol-consumption-analysis
Exploratory Data Analysis of a survey of alcohol consumption among students taking mathematics courses in secondary schools in Portugal.
temperatures_analysis
Melakukan analisis data rata-rata suhu untuk setiap kota dan negara menggunakan library Pandas dan Matplotlib. Melakukan visualisasi tren rata-rata suhu setiap bulan dan tahun suatu negara dan kota.
young-people-survey-data
Exploratory Data Analysis on survey data conducted on young people aged 15-30 years. There are several categories in the survey conducted, namely those related to hobbies or interests, fear (phobia), personality, finances, and demographics.