User Experience on mobile might not be great yet, but
I'm working on it.
Your first time on this page? Allow me to give some explanations.
Awesome Tutorials
Curated list of resources to help you get started with Data Science
Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.
Thank you siboehm & contributors
View Topic on GitHub:
siboehm/awesome-learn-datascience
Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.
Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.
What is Data Science?
Differentiation of Big Data, Machine Learning, Data Science.
An introduction to Data Science and its use as a business asset.
Common Algorithms and Procedures
The two most common types of Machine Learning algorithms.
Evaluate the performance of your algorithm / model.
Modifying the data to better model predictions.
Combine multiple models into one for better performance.
General
Data processing, implementation, and visualization with example code.
Online Course using Python that covers most of the relevant toolkits.
Learning Python
numpy
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Paid course, but 30 free days upon account creation (enough to complete course).
scikit-learn
Jupyter Notebook
Plot library that works great with Jupyter.
Various other helpful tools and resources
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing
A library for industrial-strength natural language processing in Python and Cython.
Rent cloud servers for more timeconsuming calculations (r4.xlarge server is a good place to start).
Data Science Challenges for Beginners
Walkthrough through a simple challenge on house prices.
Predict if a donor will donate again.
Predict the operating condition of water pumps in Africa.
More advanced resources and lists
An awesome Data Science repository to learn and apply for real world problems.
common data analysis and machine learning tasks using python
machine learning and deep learning tutorials, articles and other resources