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Machine Learning
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Classroom Contents
Python for Data Science - Data Science Tutorials for Beginners
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- 1 Introduction
- 2 Agenda
- 3 Python, Pycharm & Anaconda Installation
- 4 Intro to Jupyter Notebook
- 5 Variables in Python
- 6 Data Types in Python
- 7 Operators in Python
- 8 Python Tokens: Keywords, Identifiers, Literals & Operators
- 9 Data Structures in Python: Tuple, List, Dictionary & Set
- 10 Flow Control Statements
- 11 Functions
- 12 Python Object-Oriented Programming: Class & Object
- 13 Inheritance in Python
- 14 Libraries in Python
- 15 Python Numpy
- 16 Python Pandas
- 17 Data Visualization with Python: Matplotlib
- 18 Data Visualization with Python: SeaBorn
- 19 Python Project on IPL Data
- 20 Python Project on FIFA
- 21 Python Project on Marvel and DC Characters
- 22 Introduction to Data Science
- 23 Machine Learning
- 24 Supervised Learning
- 25 Unsupervised Learning
- 26 Statistics For Data Science
- 27 Linear Regression
- 28 Logistic Regression
- 29 Time Series Analysis
