python4datascience topic
DataScience_Interview_Questions
My Solutions to 120 commonly asked data science interview questions.
07_Python_Advanced_Topics
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
Python_Computer_Vision_from_Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both fo...
93_Python_Data_Analytics_Projects
This repository contains all the data analytics projects that I've worked on in python.
03_Python_Flow_Control
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
08_Python_Date_Time_Module
Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built...
09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific...
04_Python_Functions
The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns th...
Python_Decision_Tree_and_Random_Forest
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have...
90_Python_Examples
The best way to learn Python is by practicing examples. The repository contains examples of basic concepts of Python. You are advised to take the references from these examples and try them on your ow...