Python-for-Data-Science

Basic to intermediate level of code in python for data science.

Part 1 consists of following:

The code is kind of self explanatory and can be used as a reference or can be used to brush up the concepts whenever required.

Part 2:

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
MACHINE LEARNING		MACHINE LEARNING
10) Matplotlib Part 1.ipynb		10) Matplotlib Part 1.ipynb
11) Matplotlib -2 .ipynb		11) Matplotlib -2 .ipynb
12) Matplotlib - Part 3.ipynb		12) Matplotlib - Part 3.ipynb
13) Seaborn - Distribution Plots.ipynb		13) Seaborn - Distribution Plots.ipynb
14) Seaborn - Categorical Plots.ipynb		14) Seaborn - Categorical Plots.ipynb
15) SEABORN - MATRIX PLOTS.ipynb		15) SEABORN - MATRIX PLOTS.ipynb
16) SEABORN - Grids.ipynb		16) SEABORN - Grids.ipynb
17) SEABORN - REGRESSION PLOTS.ipynb		17) SEABORN - REGRESSION PLOTS.ipynb
18) SEABORN - STYLE AND COLOUR.ipynb		18) SEABORN - STYLE AND COLOUR.ipynb
19) PANDAS - Built in Data Visualizations.ipynb		19) PANDAS - Built in Data Visualizations.ipynb
20) Plotly and Cufflinks.ipynb		20) Plotly and Cufflinks.ipynb
5) NumPy Arrays.ipynb		5) NumPy Arrays.ipynb
6) NumPy Array Indexing.ipynb		6) NumPy Array Indexing.ipynb
7) Pandas - Dataframe - 1.ipynb		7) Pandas - Dataframe - 1.ipynb
8) Pandas - Data frame - Part 2.ipynb		8) Pandas - Data frame - Part 2.ipynb
9) Pandas - Missing Data.ipynb		9) Pandas - Missing Data.ipynb
BATMAN using NumPy and Matplotlib.ipynb		BATMAN using NumPy and Matplotlib.ipynb
Basics - Part 1.ipynb		Basics - Part 1.ipynb
Basics - Part 3.ipynb		Basics - Part 3.ipynb
Basics - Part 4.ipynb		Basics - Part 4.ipynb
Basics Part 2.ipynb		Basics Part 2.ipynb
README.md		README.md

Provide feedback