Basics of Data Science

This repo contains my hands-on practice on the following topics:

✔ Python for Data Analysis using:

a. NumPy 

b. Pandas

✔ Python for Data Visualization using:

a. Matplotlib

b. Seaborn

c. Plotly

d. Cufflinks

✔ Geographical Plotting

Name		Name	Last commit message	Last commit date
Latest commit History 54 Commits
Booleans,Operators_and_Precedence.ipynb		Booleans,Operators_and_Precedence.ipynb
Classification.ipynb		Classification.ipynb
Data_Analysis_1.ipynb		Data_Analysis_1.ipynb
Data_Analysis_2.ipynb		Data_Analysis_2.ipynb
Data_Visualization_1.ipynb		Data_Visualization_1.ipynb
Data_visualization_2.ipynb		Data_visualization_2.ipynb
For_Loop,_Array_and_Dictionary.ipynb		For_Loop,_Array_and_Dictionary.ipynb
Geographical_Plotting_2.ipynb		Geographical_Plotting_2.ipynb
Linear_Regression.ipynb		Linear_Regression.ipynb
Python_Libraries_and_Functions.ipynb		Python_Libraries_and_Functions.ipynb
README.md		README.md
While_Loop_and_List_Operations.ipynb		While_Loop_and_List_Operations.ipynb
links.md		links.md

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