Insan Cahya Setia's repositories

clean-messy-rooms

Predicting clean and Messy rooms using Tensorflow

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credit-scoring-classification

Predict whether a person will default on a loan or not.

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customer-churn-prediction

E-Commerce Customer Churn Prediction

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sa-bootcamp

Shift Academy Data Science Bootcamp

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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.

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batch5

Ini batch 5

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lead-scoring-classification

Predict the lead score for who is most likely to convert into a paying customer.

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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.

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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.

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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.

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cleansing-data-with-regex

Melakukan pembersihan data menggunakan regex

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customer-segmentation

Melakukan segmentasi customer menggunakan KMeans

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data-science-test

data-science-test

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data-sekolah

Project Mentoring Udacoding Week 2 dengan data sekolah

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dqlab_course

Ini adalah DQLab module

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dsls-mini-project-da

Repository ini merupakan syarat untuk pengumpulan Mini Project Data Analyst DSLS 2023

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dsls-mini-project-de

Mini Project Data Engineer DSLS Bootcamp

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dsls-mini-project-ds

Mini Project Data Science for DSLS 2023

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github-stats-transparent

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

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image-scene-classification

Image Scene Classification

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pca-python

Principal Component Analysis using Python

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progate-course

Ini adalah Course Progate

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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.

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student-alcohol-consumption-analysis

Exploratory Data Analysis of a survey of alcohol consumption among students taking mathematics courses in secondary schools in Portugal.

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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.

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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.

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