There are 2 repositories under importing-and-cleaning-data topic.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
To better understand the growth and impact of Bitcoin and other cryptocurrencies I explore the market capitalization of different cryptocurrencies.
Pandas + Bayesian Statistics - to see if left-handed people actually die earlier than righties.
Analyzing the medical data Dr.Semmelweis collected.
Building a model that can automatically detect honey bees and bumble bees in images
Python ML Methods to classify songs into genres.
Using regression discontinuity try to see which debts are worth collecting.
Data analysis with Python to building and evaluating data models.
Finding the true Scala experts by exploring its development history in Git and GitHub.
It's not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly ingredient required for a country's citizens to lead comfortable lives. The World Bank is the organization that provides debt to countries.
Built a machine learning model to predict if a credit card application will get approved.
Build an ML-based credit card approval predictor for commercial banks to automate application analysis, saving time and reducing errors. High loan balances, low income, or excessive credit inquiries often lead to rejections. This project replicates real banks' automation for efficient, accurate, and faster decision-making.
Uses data manipulation and visualization to explore the television broadcast datasets using python3
Jupyter Notebook on breath alcohol test data from Ames, Iowa, USA.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Play bank data scientist and use regression discontinuity to see which debts are worth collecting
A machine learning model to predict whether a customer will order food online again or not.
Build an automatic credit card approval predictor using machine learning techniques, just like the real banks do.
In this project I have used my data engineering skills to write SQL queries to answer interesting questions about international debt using data from The World Bank. 📊
NumPy & Pandas for data science, data analysis & business intelligence, with practical, hands-on Python projects
Data Science Projects from various platforms
Dive into global terrorism's web with 'Global_Terrorism_Trends_Analysis.' Leveraging the GTD, our project delves into trends, tactics, and impacts worldwide. Uncover valuable insights to understand this complex issue.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
In this project, a comprehensive analysis of the Android application market was carried out by comparing more than ten thousand applications on Google Play in different categories. Insights were sought from the data to design strategies that drive growth and retention. Data for this project was pulled from the Google Play website.
The Nobel Prize is perhaps the best-known scientific award in the world. What characteristics do the winners have? Which country receives it most often? And has anyone gotten it twice? In this project you can figure this out. The dataset used in this project is from the Nobel Foundation on Kaggle.
Commercial banks receive many applications for credit cards. Fortunately, this task can be automated with the power of machine learning, and virtually all commercial banks do it today. In this project, an automatic credit card approval predictor is built using machine learning techniques, just like real banks do.
Qualifications as a Data Analyst
This is my solutions to Datacamp projects.
Profile of data analysis work using Python
Bangalore house price prediction using KNN Regressor
Script to import data into MongoDB from JSON file or delete data from MongoDB
Aplicação BackEnd com Java - Processar arquivos CSV
A project demonstrating the creation of a machine learning model to automate the approval or rejection of credit card applications through supervised learning techniques. 💳
Applying machine learning methods in Python to classify songs into genres
It's not that we humans only take debts to manage our necessities. A country may also take debt to manage its economy. For example, infrastructure spending is one costly ingredient required for a country's citizens to lead comfortable lives. The World Bank is the organization that provides debt to countries.