Lam-Truong's Stars
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
guipsamora/pandas_exercises
Practice your pandas skills!
gedeck/practical-statistics-for-data-scientists
Code repository for O'Reilly book
veb-101/Data-Science-Projects
Collection of data science projects in Python
tdpetrou/Learn-Pandas
Tutorials on how to use pandas effectively to do data analysis
CodexploreRepo/data-science
Data Science Handbook
frieds/msis_2629_exercises
Exercises of data analysis and visualizations for summer class of MSIS 2929 at Santa Clara University
ivopbernardo/r-programming-absolute-beginners
Materials to learn R Programming completely from scratch, including vectors, data types, arrays, matrices, data frames, lists, libraries, working with data frames, reading external files, and functions. These materials are based on my book R Programming Language for Absolute Beginners and Udemy course.