maicorebong
Data enthusiast. Creative problem solver. Life is a game and you get a chance to level up each day.
Greater Toronto Area
Pinned Repositories
Accessing-PH-Financial-Data---Predicting-SM-Stock-Prices
Accessing PH Financial Data - Predicting SM Stock Prices
advanced_sql_mavenfuzzyfactory
Usual SQL understanding required from a data analyst in an e-commerce company
Analyzing-International-Debt-Statistics
Focuses on analyzing international debt data from The World Bank, examining the total debt, identifying the highest debtor and their amount, and calculating the average debt across various indicators. The dataset includes debt information from developing countries worldwide from 1970 to 2015.
Analyzing-World-Happiness-Report-2019
The World Happiness Report measures the overall state of global happiness by factoring in each country's status in economy, health, social support, government trust, etc. and ranks the countries by how happy their citizens perceive themselves to be. Since it covers different factors, it can be a useful guide to measure policy effectiveness and good governance and assess the quality of life among countries. In this project, we explore and visualize the distribution of happiness scores among countries, identify strong determinants and relationship of factors to one another, and apply ML Linear Regression to test the model used for the report. Here is the link to the slide pack used: https://drive.google.com/file/d/15q6585HzYGlcFx3PbSPpw5spmRCw_Ozx/view?usp=sharing Proponents of the project are Janine Cheong, Raymund Norada, Karen Salas, and Maico Rebong. This final project serves as a requirement in our Diploma Course in Foundations in Data Science under DLSU. This study was awarded Best in Data Analysis among the thirteen presentations.
BAN120-OpenAQ
Bar-Chart-Race-Global-Brands-Ranking
Bitcoin-Tweets-Tweepy-Textblob
Blood-Donor-Segmentation-Taguig
Analytiks Inc. - Capstone Project
Book-Recommendations-from-Charles-Darwin
Charles Darwn Book Recommendations using Natural Language Processing
dlsu-datasci-mariaconcepcionrebong
maicorebong's Repositories
maicorebong/advanced_sql_mavenfuzzyfactory
Usual SQL understanding required from a data analyst in an e-commerce company
maicorebong/Analyzing-World-Happiness-Report-2019
The World Happiness Report measures the overall state of global happiness by factoring in each country's status in economy, health, social support, government trust, etc. and ranks the countries by how happy their citizens perceive themselves to be. Since it covers different factors, it can be a useful guide to measure policy effectiveness and good governance and assess the quality of life among countries. In this project, we explore and visualize the distribution of happiness scores among countries, identify strong determinants and relationship of factors to one another, and apply ML Linear Regression to test the model used for the report. Here is the link to the slide pack used: https://drive.google.com/file/d/15q6585HzYGlcFx3PbSPpw5spmRCw_Ozx/view?usp=sharing Proponents of the project are Janine Cheong, Raymund Norada, Karen Salas, and Maico Rebong. This final project serves as a requirement in our Diploma Course in Foundations in Data Science under DLSU. This study was awarded Best in Data Analysis among the thirteen presentations.
maicorebong/Accessing-PH-Financial-Data---Predicting-SM-Stock-Prices
Accessing PH Financial Data - Predicting SM Stock Prices
maicorebong/Analyzing-International-Debt-Statistics
Focuses on analyzing international debt data from The World Bank, examining the total debt, identifying the highest debtor and their amount, and calculating the average debt across various indicators. The dataset includes debt information from developing countries worldwide from 1970 to 2015.
maicorebong/BAN120-OpenAQ
maicorebong/Bar-Chart-Race-Global-Brands-Ranking
maicorebong/Bitcoin-Tweets-Tweepy-Textblob
maicorebong/Blood-Donor-Segmentation-Taguig
Analytiks Inc. - Capstone Project
maicorebong/Book-Recommendations-from-Charles-Darwin
Charles Darwn Book Recommendations using Natural Language Processing
maicorebong/dlsu-datasci-mariaconcepcionrebong
maicorebong/Fintech-Customer-Churn-Analysis
maicorebong/foundations-of-data-science
Materials for the online diploma course on the Foundations of Data Science
maicorebong/GitHub-History-of-the-Scala-Language
Analyzing and visualizing Scala's real world Github repository data
maicorebong/HackerRank-SQL-Challenges-Solutions
The solutions of all SQL hackerrank challenges using MySQL environment
maicorebong/Learn-SQL
Exercises for beginners to learn SQL
maicorebong/machine_learning_for_good
Machine learning fundamentals lesson in interactive notebooks
maicorebong/maicorebong
maicorebong/maicorebong.github.io
Portfolio Website
maicorebong/Microsoft-Stock-Prices-Prediction
Microsoft Stock Prices Prediction
maicorebong/mslearn-developer-tools-power-platform
Microsoft Learn: Downloads for Power Platform and Dynamics 365 Learn modules.
maicorebong/mysql
MySQL Resourses✨and Handy Commands to ace the coding interview! 😎
maicorebong/portfolio
maicorebong/Ramen-Rating
Ramen Rating Analysis and Predictor (Classification)
maicorebong/Star-Wars---Simple-Data-Visualization
Replicating a Star Wars EDA from R to Python
maicorebong/SUPERBOWL-TV-Halftime-Shows-and-the-Big-Game
Datacamp project to practice loading, cleaning, and exploring Super Bowl data specifically about ads and performances for halftime shows. The data for this project was scraped and polished from Wikipedia.
maicorebong/The-Android-App-Market-on-Google-Play
Datacamp project to practice data manipulation, data visualization, and probability & statistics. The data for this project was scraped from the Google Play website.
maicorebong/Valorant-Reddit-Crawl-using-API
In this project, we will be making use of Python and Pushshift API to scrape Valorant Reddit page.