GitHub - lnphng/Data-Science-with-Python: DataCamp_Track

CAREER TRACK

Descriptions:

In this track, I have chances to review and summarize the skills in importing, cleaning, manipulation, and visualization data with Python.
Through interactive exercises, the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more are used again and again to make skills more fluently.
Chance to work with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language processing (NLP).

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
Project_all		Project_all
Supervised learning with scikit-learn		Supervised learning with scikit-learn
TimeSeries/Manipulating Time series data		TimeSeries/Manipulating Time series data
Unsupervised learning with Python		Unsupervised learning with Python
.gitattributes		.gitattributes
DataScientistwithPython_Cer.pdf		DataScientistwithPython_Cer.pdf
README.md		README.md