I want to learn machine learning and I want to make small projects in the future. Where do I start? Any tips and advice?

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
scikit-learn Machine Learning Numpy predictive-modeling Python

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    • This might be: https://jakevdp.github.io/PythonDataScienceHandbook/ But it has less of a focus on data analysis and more on data structures so I recommend starting with the R one

  • ISLR-python

    An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

    • ISLR Code in Python

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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