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# Python Machine Learning Notebooks (Tutorial style)
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Dr. Tirthajyoti Sarkar, Fremont, CA ([Please feel free to add me on LinkedIn here](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7))
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## Requirements
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* **Python 3.5+**
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* **NumPy (`$ pip install numpy`)**
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* **Pandas (`$ pip install pandas`)**
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* **MatplotLib (`$ pip install matplotlib`)**
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* **Seaborn (`$ pip install seaborn`)**
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* **Sympy (`$ pip install sympy`)**
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You can start with this article that I wrote in Heartbeat magazine (on Medium platform):
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* ["Some Essential Hacks and Tricks for Machine Learning with Python"](https://heartbeat.fritz.ai/some-essential-hacks-and-tricks-for-machine-learning-with-python-5478bc6593f2)
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<img src="https://cookieegroup.com/wp-content/uploads/2018/10/2-1.png" width="450" height="300"/>
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* **[Basics of Pandas DataFrame](https://github.com/tirthajyoti/PythonMachineLearning/blob/master/Pandas%20and%20Numpy/Basics%20of%20Pandas%20DataFrame.ipynb)**
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* **[Basics of Matplotlib and Descriptive Statistics](https://github.com/tirthajyoti/PythonMachineLearning/blob/master/Pandas%20and%20Numpy/Basics%20of%20Matplotlib%20and%20Descriptive%20Statistics.ipynb)**
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## Regression
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* Simple linear regression with t-statistic generation
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<img src="https://slideplayer.com/slide/6053182/20/images/10/Simple+Linear+Regression+Model.jpg" width="400" height="300"/>

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