Python

1. Data Science (Python)

Juan Torregrosa Pisonero

9 decks · 194 cards

PYTHON Data Science

Birwe Leon

9 decks · 194 cards

python data science

Zip Nadoublecup

3 decks · 58 cards

Computer Science

Pascal van Proosdij

2 decks · 45 cards

Python for Data Science

Douglas pereira

16 decks · 258 cards

PYTHON Data Science

Birwe Leon

12 decks · 213 cards

Python/Java & Computer Science

Sebastian Tapia

8 decks · 122 cards

System Architecture (Topic 1)

24 cards

Programming (Topic 6 and Topic 7)

21 cards

Math Notation

24 cards

Built-in Functions (1)

24 cards

Microsoft 2016

7 cards

Developing Intelligent Apps

3 cards

Querying with Transact-SQL

24 cards

Data Science Orientation

13 cards

Data Science Essentials

21 cards

3 Symbols in Data Science (part 1) (Math & Python)

24 cards

Merging Dataframes / Datacamp(1,2,3 not project)

24 cards

Python Pandas - Udemy

24 cards

Statistical Thinking for Data Science and Analytics

24 cards

Analyzing and Visualizing Data with Excel

24 cards

1 Introduction to Python (1)

24 cards

2 Introduction to Python (II)

24 cards

Python for Data Science

24 cards

data-flair/Python/ Interview questions level 1

24 cards

Principles of Machine Learning

24 cards

Programming with Python for Data Science

24 cards

4 Data Manipulation with pandas

24 cards

4 Data Manipulation with pandas

24 cards

Data Visualization (UCSD)

14 cards

Wk 2: Background in Python and Unix

20 cards

data-flair/Python/ Interview questions level 1

24 cards

Pandas Pt 1 (Wk 4 UCSD)

24 cards

Built-in Functions (1)

24 cards

Py Lists (Datacamp + UCSD Wk 2)

24 cards

Pandas Pt 2 (UCSD)

14 cards

Pandas Pt 3 (UCSD)

15 cards

Math Notation

24 cards

2 Introduction to Python (II)

24 cards

3 Symbols in Data Science (part 1) (Math & Python)

24 cards

1 Introduction to Python (1)

24 cards

Git Bash Commands - UNIX like (Wk 3 UCSD)

24 cards

Pandas Pt 1 - Cont'd (UCSD)

7 cards

Tuples & Dictionaries (UCSD - Wk 2)

24 cards

Merging Dataframes / Datacamp(1,2,3 not project)

24 cards

numPy

24 cards

pandas

19 cards

matplotlib.pyplot

15 cards

Unix Commands

3 cards

Java

12 cards

DataCamp Python

24 cards

CodeAcademy Python

13 cards

Python Code Knowledge

24 cards

Quantopian & Finance

21 cards

6.00.1x & 6.00.2x

24 cards

Python String Functions (UC-Wk 2)

8 cards

Jupyter Notebooks (US Wk 3)

11 cards

Numpy (Wk 3 UCSD / DataCamp)

24 cards

Wk 1: Data Science Process

15 cards

test with images

2 cards

Git Bash cmds - Unix like (Wk 2 UCSD)

11 cards

test with images

2 cards

DataCamp: Python Basics - Functions

18 cards

Applied Machine Learning

1 cards

Python Machine Learning

1 cards

SQL Joins

5 cards