klesse/data-science-projects

📊👨🏼‍💻 Data Science Projects

This repository contains some Data Science projects about many datasets, most of them from Kaggle.

It has the intention to learn about different kinds of data and practice the capacity to get insights about data, make predictions, classification, and more.

📊🔎 Exploratory Data Analysis (EDA)

This projects consist in extracting valuable information about raw data. It's an import skill as an data scientist to know how to interpret data and have insights from it.

All projects that are an EDA project has the sufix -eda in the folder's name.

Guideline

1. Data understanding
2. Data preparation
3. Feature understanding
4. Feature relantionships
5. Questions

Datasets

1. Netflix Movies and TV Shows
2. Video Game Sales
3. Politician Candidates of Brazil of 2018 and 2022

📊🖥️ Classification

This projects consist in classifying different kinds of data to summarize and insert them into a group. It's helpful when a data scientist wants agroup data and label it based on it features.

1. Bank Loan Default Predictor

📊🖼️ Image Recognition

Projects about image recogntion are to recognition patterns in images and label it with a name that is related to the image's patterns. This projects involve computer vision, machine learning and deep learning techniques.

All projects that are an image recognition project has the sufix -imgrec in the folder's name.

Datasets

1. Digit Recognizer

Author

Pedro Malandrin Klesse