Este repositório contém os arquivos referentes ao curso de Python for Data Science and Machine Learning Bootcamp, disponível na Udemy.
Ele está estruturado nas seguintes seções:
✅ finalizado | ⚙️ em andamento |
- Python crash course | ✅
- Data analysis - numpy | ✅
- Data analysis - pandas | ✅
- Data visualization - matplotlib | ✅
- Data visualization - seaborn | ✅
- Data visualization - pandas built in data visualization | ✅
- Data visualization - plotly and cufflinks | ✅
- Data visualization - geographical plotting | ✅
- Data capstone project | ✅
- Machine learning - Linear regression | ✅
- Machine learning - Cross validation and bias-variance trade-off | ✅
- Machine learning - Logistic regression | ✅
- Machine learning - K nearest neighbors | ✅
- Machine learning - Decision trees and random forests | ✅
- Machine learning - Support vector machines | ✅
- Machine learning - K means clustering | ✅
- Machine learning - Principal component analysis | ✅
- Machine learning - Recommender systems | ✅
- Machine learning - Natural language processing | ✅
- Machine learning - Neural nets and deep learning | ⚙️
- Machine learning - Big data and spark with python |
⚠️