Python is a powerful and a default language for Data Science and Machine Learning. In this first part of our video series in Python, the AI Expert Kashif Murtaza explains to you in deep the basics of Python from Scratch.
Python is a powerful and a default language for Data Science and Machine Learning.
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In this first part of our video series in Python, the AI Expert Kashif Murtaza explains to you in deep the basics of Python from Scratch.
⭐️ Course Contents ⭐️ ⌨️ (0:00:52) Why Python ⌨️ (0:04:10) Python IDE to use ⌨️ (0:09:32) Installation of Anaconda & Python ⌨️ (0:13:37) Variable and Operator in Python ⌨️ (0:29:29) Boolean and Comparison in Python ⌨️ (0:36:59) Python Useful functions ⌨️ (0:47:44) String in Python ⌨️ (1:00:08) Data Structure (List, Tuple, Set, Dictionary) in Python ⌨️ (1:14:35) Control Flow in Python
In the second part of this video tutorial, you will go in deep and learn more about data science libraries like Pandas, NumPy, Scikit-learn, or Matplotlib.
⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction to the Course and Outline ⌨️ (0:03:05) Data Set in Python ⌨️ (0:04:16) Control Flow in Python ⌨️ (0:33:15) Function in Python ⌨️ (0:48:55) Module in Python ⌨️ (0:51:39) Data Science Python Libraries -NumPy ⌨️ (1:14:54) Data Science Python Libraries -Pandas ⌨️ (1:28:05) Data Science Python Libraries -Matplotlib
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In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
This Data Science with Python Tutorial will help you understand what is Data Science, basics of Python for data analysis, why learn Python, how to install Python, Python libraries for data analysis, exploratory analysis using Pandas, introduction to series and dataframe, loan prediction problem, data wrangling using Pandas, building a predictive model using Scikit-Learn and implementing logistic regression model using Python.
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