fadhiljr7

DataScience-Quant-Trading-Analyts-BTC-ETH-XRP

This project is a quantitative analysis that examines the price behavior of cryptocurrency assets Bitcoin (BTC), Ethereum (ETH), and Ripple (XRP) from December 2017 - September 2023 using various statistical methods, analytical techniques, and trading strategies. The analysis aims to assist traders and investors in making market-informed decisions.

capstone-project-bisaai

2022-2023-IMK-3IA20-

attritionjymj

btcvsspx012024

Dive into the numbers as I explore the intricate relationship between the crypto giant and the stock market benchmark. Uncover key insights and trends that could reshape trading strategies. Let's navigate the fascinating world where cryptocurrency and traditional markets collide!

DASPRO1-1IC05-2022-2023

DataScience-Air-Quality

This GitHub project is dedicated to the development of an interactive air quality dashboard that provides five years(2013-2017) monitoring and visualization of critical air quality metrics, including PM2.5, PM10, and CO (Carbon Monoxide) levels.

datascience000

This project analyzes Bitcoin price cycles from 2011-2024, identifying Bear, Pre-Bull, 1st Bull, and 2nd Bull phases. Includes price predictions using machine learning (Random Forest). Provides datasets, visualizations, and predictive models that can be further developed.

datascience001

This project aims to analyze user behavior on VIDIO.COM and provide actionable insights through data analysis and machine learning. The machine learning component compares the performance of two models: Random Forest and XGBoost, to predict playback duration.

datascience002

This project provides an in-depth analysis of the M5 World Championship data, focusing on hero pick rates, win rates, and bans. Utilizing Python and XGBoost Regressor, the analysis delivers valuable insights and predictive models to enhance game strategies.

fadhiljr7/datascience005

This project analyzes the financial impact of mandatory e-materai in the CPNS 2024 application process, questioning its fairness to applicants. It includes data analysis, insights, and recommendations for improving the system.

fadhiljr7/datascience002

This project provides an in-depth analysis of the M5 World Championship data, focusing on hero pick rates, win rates, and bans. Utilizing Python and XGBoost Regressor, the analysis delivers valuable insights and predictive models to enhance game strategies.

fadhiljr7/datascience003

This project analyzes electric vehicle (EV) data in Washington, including distribution by location, make, model, range, and electric utility provider. This analysis is used as a reference for implementing an electric vehicle policy in the State Capital (IKN), which will limit the use of non-electric vehicles.

fadhiljr7/datascience004

This project focuses on learning and practicing data analysis using Microsoft Excel. It contains real challenges in data cleaning and analysis, complete with blank templates, final output, and complete tutorials to help users complete each task with step-by-step guidance.

fadhiljr7/datascience001

This project aims to analyze user behavior on VIDIO.COM and provide actionable insights through data analysis and machine learning. The machine learning component compares the performance of two models: Random Forest and XGBoost, to predict playback duration.

fadhiljr7/datascience000

This project analyzes Bitcoin price cycles from 2011-2024, identifying Bear, Pre-Bull, 1st Bull, and 2nd Bull phases. Includes price predictions using machine learning (Random Forest). Provides datasets, visualizations, and predictive models that can be further developed.

fadhiljr7/plsikelProfitabilityIndex

fadhiljr7/dropoutdc

fadhiljr7/attritionjymj

fadhiljr7/DataScience-Air-Quality

This GitHub project is dedicated to the development of an interactive air quality dashboard that provides five years(2013-2017) monitoring and visualization of critical air quality metrics, including PM2.5, PM10, and CO (Carbon Monoxide) levels.

fadhiljr7/btcvsspx012024

Dive into the numbers as I explore the intricate relationship between the crypto giant and the stock market benchmark. Uncover key insights and trends that could reshape trading strategies. Let's navigate the fascinating world where cryptocurrency and traditional markets collide!

fadhiljr7/fadhiljr7

fadhiljr7/The-Influence-of-Bad-Habits

This repository contains an in-depth analysis of the effects of bad habits such as smoking, alcohol consumption, and lack of sleep on health. Through notebook files (ipynb), presentations (ppt), and data dashboards (Google Data Studio), we present our findings in an informative and visual format.

fadhiljr7/DataScience-Quant-Trading-Analyts-BTC-ETH-XRP

This project is a quantitative analysis that examines the price behavior of cryptocurrency assets Bitcoin (BTC), Ethereum (ETH), and Ripple (XRP) from December 2017 - September 2023 using various statistical methods, analytical techniques, and trading strategies. The analysis aims to assist traders and investors in making market-informed decisions.

fadhiljr7/predisiuy

fadhiljr7/DASPRO1-1IC05-2022-2023

fadhiljr7/2022-2023-IMK-3IA20-

fadhiljr7/verblock

fadhiljr7/personal-portfolio

fadhiljr7/capstone-project-bisaai

fadhiljr7/ujian-ap2b

fadhiljr7/Games-Pandas-1

fadhiljr7/nftstore

Protocol and application framework for decentralized NFT minting, storefronts, and sales.