Script to import data into MongoDB from JSON file or delete data from MongoDB

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.

Aplicação BackEnd com Java - Processar arquivos CSV

Bangalore house price prediction using KNN Regressor

Qualifications as a Data Analyst

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.

Built a machine learning model to predict if a credit card application will get approved.

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. 📊

A project demonstrating the creation of a machine learning model to automate the approval or rejection of credit card applications through supervised learning techniques. 💳

This is my solutions to Datacamp projects.

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.

NumPy & Pandas for data science, data analysis & business intelligence, with practical, hands-on Python projects

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.

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

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.

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.

Profile of data analysis work using Python

Applying machine learning methods in Python to classify songs into genres

Data analysis with Python to building and evaluating data models.

Exploratory Data Analysis and Visualizations: Code and Projects