Fundamentals of Data Science

Fundamentals of Data Science

Bhende, Manisha S.; Wagh, Sanjeev J.; Thakare, Anuradha D.

Taylor & Francis Ltd

09/2021

282

Dura

Inglês

9781138336186

15 a 20 dias

539

Descrição não disponível.
Part-I Data Science Introduction. Chapter 1: Importance of Data Science. Chapter 2: Statistics and Probability. Chapter 3: Databases for Data Science. Part II Data Modelling and Analytics. Chapter 4: Data Science Methodology. Chapter 5: Data Science Methods and Machine learning. Chapter 6: Data Analytics and Text Mining. Part III: Platforms for Data Science. Chapter 7: Data Science Tool: Python. Chapter 8: Data Science Tool: R. Chapter 9: Data Science Tool: MATLAB. Chapter 10 : GNU Octave as a Data Science Tool. Chapter 11: Data Visualization using Tableau. Index.
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Machine Learning Algorithms;DBSCAN Cluster;Data Science Field;Scatter Plot;Data Frame;Bayes Theorem;GNU Octave;Vice Versa;NoSQL Database;SVM;Multinomial Logistic Regression;Multiple Linear Regression;NumPy Arrays;Box Whisker Plot;Rows Shelf;Dummy Variable;GARCH Model;Window Function;Roc Curve;Text Mining;Model Building Phase;Google Sheets;Dummy Variable Trap;ETL Process;Motion Chart