https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp
Python for Data Science and Machine Learning Bootcamp
https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp
data-science linear-regression logistic-regression machine-learning matplotlib numpy pandas python seaborn
Last synced: about 1 month ago
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Python for Data Science and Machine Learning Bootcamp
- Host: GitHub
- URL: https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp
- Owner: quickheaven
- License: apache-2.0
- Created: 2018-09-11T04:01:46.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-05-28T03:41:59.000Z (over 2 years ago)
- Last Synced: 2025-03-12T14:49:29.995Z (11 months ago)
- Topics: data-science, linear-regression, logistic-regression, machine-learning, matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 49.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more.
## Python Crash Course
## Python for Data Analysis - Numpy
```
import numpy as np
```
## Python for Data Analysis - Pandas
## Python for Data Visualization - Matplotlib
## Python for Data Visualization - Seaborn
* [Distribution Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-48%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Distribution%20Plots.ipynb) - distplot, jointplot, pairplot and rugplot
* [Categorical Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-49%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Categorical%20Plots.ipynb) - barplot, countplot, boxplot, violinplot, stripplot, swarmplot and factorplot
* [Matrix Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-50%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Matrix%20Plots.ipynb) - heatmap and clustermap
* [Grids Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-51%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Grids.ipynb) - FairGrid and FacetGrid
* [Regression Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-52%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Regression%20Plots.ipynb) - lmplot
* [Style and Color Plots](https://nbviewer.org/github/quickheaven/python-for-data-science-and-machine-learning-bootcamp/blob/0e745030da8b521b80d92a47d41a5c1fea875e0d/Section%209-53%20Python%20for%20Data%20Visualization%20-%20Seaborn%20-%20Style%20and%20Color.ipynb)