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Practical Data Science Using Python

You're reading from Practical Data Science Using Python Apply Data Science Using Python, Statistical Techniques, EDA, NumPy, Pandas, Scikit Learn, and Statsmodel Libraries

Product type Video

Published in Aug 2022

Last Updated in May 2025

Publisher Packt

ISBN-13 9781804611814

Length 29hrs 46mins

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Science

Author (1):

Manas Dasgupta

View More author details

Table of Contents (14) Chapters

1. Introduction to Data Science

2. Statistical Techniques FREE CHAPTER

3. Python for Data Science

4. Exploratory Data Analysis (EDA)

5. Machine Learning

6. Linear Regression

7. Logistic Regression

8. Unsupervised Learning - K-Means Clustering

9. Naive Bayes Probability Model

10. Classification using decision trees

11. Ensemble Methods – Random Forest

12. Advanced Classification Techniques – Support Vector Machine

13. Dimensionality Reduction Using PCA

14. Dimensionality Reduction Using PCA

Principal Component Analysis - Concepts

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83

Tech Concepts

36

Programming languages

73

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Authors (1)

Manas Dasgupta

Manas Dasgupta

Manas Dasgupta, from Bangalore, the Silicon Valley of India, holds an MSc in AI from Liverpool John Moores University (LJMU), UK. His expertise lies in Generative AI, Machine Learning, and Data Science, focusing on RAG Application Development with LangChain and LlamaIndex, and various supervised and unsupervised techniques. His research includes NLP using Deep Learning, Siamese Networks, and BERT. With over 20 years of IT experience, mainly in Financial Services, he founded Teksands, where his team develops Gen AI applications in the talent space.

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