Introduction to Data Science Practical Approach With R and Python

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Maheswari Uma B. & Sujatha R.
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	New Delhi Wiley 2025
Edizioa:	01st
Gaiak:	Data Science Practical Approach With R and Python (MCA)
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Python For Data Science For Dummies
nork: Mueller, Paul John & Massaron, Luca
Argitaratua: (2025)

Practical Data Science with R
nork: Zumel, Nina; Mount, John
Argitaratua: (2014)

Practical Data Science with R
nork: Zumel, Nina; Mount, John
Argitaratua: (2014)

HR Analytics Practical Approach Using Python
nork: Motwani, Bharti
Argitaratua: (2021)

Python For Data Science
nork: Williams, Ethan
Argitaratua: (2019)

Python for Data Science
nork: Hameed, Mohd. Abdul
Argitaratua: (2023)

Practical Data Science With Python
nork: George, Nathan
Argitaratua: (2021)

Effective Python
nork: Slatkin, Brett
Argitaratua: (2024)

Python Data Science Handbook
nork: VanderPlas
Argitaratua: (2024)

Python for Data Science for Dummies
nork: Mueller John Paul
Argitaratua: (2022)

HR Analytics : Practical Approach Using Python
nork: Motwani, Bharti
Argitaratua: (2021)

Python for Data Analysis
nork: McKinney, Wes
Argitaratua: (2013)

Python for Data Analysis
nork: McKinney, Wes
Argitaratua: (2013)

Machine Learning for dummies (In Python and R)
nork: Mueller, John
Argitaratua: (2016)

Python
nork: Deitel

Introduction to Data Science: : Practical Approach with R and Python
nork: Maheswari, B. Uma; Sujatha, R.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
nork: Wickham,Hadley
Argitaratua: (2023)

Python Data Science Handbook: Essential Tools For Working With Data
nork: VanderPlas, Jake
Argitaratua: (2023)

Intro to Python for Computer Science and Data Science
nork: Deitel, Paul & Deitel, Harvey
Argitaratua: (2025)

Python for Data Science
nork: Mueller, John Paul & Massaron, Luca
Argitaratua: (2023)

Introduction to Data Science: : Practical Approach with R and Python
nork: Maheswari, B.UMA

Reimagining Data Visualization using Python
nork: Acharya,Seema
Argitaratua: (2022)

Modeling Techniques in Predictive Analystics with Python and R
nork: Miller Thomas W.
Argitaratua: (2019)

Python for R Users: A Data Science Approach
nork: Ohri, Ajay
Argitaratua: (2018)

Marketing Data Science : Modeling Techniques in Predictive Analytics with R and Python
nork: Miller Thomas W.
Argitaratua: (2019)

Data Analytics With R
nork: Motwani, Bharti
Argitaratua: (2023)

Data Science and Machine Learning using Python
nork: Thareja, Reema
Argitaratua: (2023)

Pandas for Everyone: Python Data Analysis
nork: Daniel Y. Chen
Argitaratua: (2022)

Data Structures and Algorithms in Python
nork: Goodrich, Michael & Other
Argitaratua: (2023)

Practical Approach to General Insurance Underwriting
nork: Mishra, K C; Guria, R C
Argitaratua: (2009)

Data Analytics Using Python
nork: Motwani, Bharti
Argitaratua: (2024)

Data Analytics With R
nork: Motwani Bharati
Argitaratua: (2019)

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
nork: McKinney, Wes
Argitaratua: (2022)

Introduction to Computation and Programming Using Python With Application to Understanding Data
nork: Guttag, John V.
Argitaratua: (2022)

Python for R Users
nork: Ohri, Ajay
Argitaratua: (2018)

Data Analytics with Spark Using Python
nork: Aven, Jeffrey
Argitaratua: (2019)

R and Data Mining : Examples and Case Studies
nork: Zhao, Yanchang
Argitaratua: (2013)

Learning Python
nork: Lutz, Mark
Argitaratua: (2022)

Learning Python
nork: Downey, Allen & Others
Argitaratua: (2016)

Data Structures and Algorithms in Python
nork: Goodrich Michael T.
Argitaratua: (2024)