Section 7.2.1 - Python for Data Science

Section 7.2.2 - Python for Data Science - Bokeh Library

Section 7.2.3 - Tensorflow

Section 7.2.4 - Keras

Section 7.2.5 - Numpy Python Cheat sheet

Section 7.2.6 - Data Wrangling with Pandas Cheat sheet

Section 7.2.7 - Data Wrangling with DPLYR and TIDY

Section 7.2.8 - SciPy - Linear Algebra

Section 7.2.9 - SciPy - Linear Algebra

Section 7.2.10 - Data Visualization with ggplot2

Section 7.2.11 - PySpark

Section 7.2.12 - Scikit Learn Map

Section 7.2.13 - Cheatsheet - Python & R codes for common Machine Learning Algorithms

Section 7.2.14 - Probability Cheatsheet - Basic

Section 7.2.15 - Probability Cheatsheet - Advanced

Section 7.2.16 - Hive Function Cheatsheet

Section 7.2.17 - Pig Function Cheatsheet

Section 7.2.18 - Deep Learning Cheatsheet

Section 7.2.19 - Big O Computation

Section 7.2.20 - Big O Complexity Chart

Section 7.2.21 - Common Data Structure Operations Complexity Chart

Section 7.2.22 - Array Sorting Algorithmic Complexity Chart

Section 7.2.23 - Neural Networks

Section 7.2.24 - Neural Network Cells

Section 7.2.25 - Neural Network Graphs