tgadeliya/ml_libraries

Materials used to learn/practice/refresh popular machine learning libraries and tools.

There are links to notebooks collected in this repo.

Materials

Study materials (mainly notebooks) collected in materials folder

• mlcourse Topic 1 EDA with pandas
• mlcourse Topic 2.1 Visual data analysis in Python
• mlcourse Topic 2.2 Visual data analysis in Python
• HSE ML course Seminar 1
• HSE ML course
• Tips for pre-processing
• Visualization with Bokeh
• Plotly tutorial for interactive plots

Exercises

Practical assignments from exercise folder

• A1 mlcourse EDA with Pandas
• A2 mlcourse Analyzing cardiovascular data
• Introduction to machine learning week 1 Pandas
• HSE Machine learning Pandas+matplotlib
• numpy 100 exercises
• Pandas exercises

Useful links

Links to other helpful materials

• Jupyter Notebook Users Manual
• Pandas cheatsheet pdf
• pandas docs: http://pandas.pydata.org/pandas-docs/stable/
• 10 minutes to pandas: https://pandas.pydata.org/pandas-docs/stable/10min.html
• Pandas Tutorial: DataFrames in Python: https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python
• Visualization: http://pandas.pydata.org/pandas-docs/stable/visualization.html
• "Effective Pandas" source code
• Data School: Pandas course