https://github.com/milaan9/01_python_introduction

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

jupyter-notebook jupyter-tutorial namespace-scope python-imports python-introduction python-jupyter-notebooks python-keywords python-operators python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python-variables python4beginner python4datascience python4everybody tutor-milaan9 tutorial-exercises tutorial-github type-conversion

Last synced: 05 Apr 2025

https://github.com/milaan9/91_python_mini_projects

covid-19-india ipython-to-pdf js-in-python mini-program mini-project mini-projects miniprogram py-to-exe python-digital-clock python-games python-mini-projects python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9 webscraping

Last synced: 05 Apr 2025

https://github.com/milaan9/07_python_advanced_topics

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

args-kwargs-master generator-function ipython-notebook match-object property-decorators python-advance-topics python-closure python-decorators python-generators python-iterators python-property python-regex python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 05 Apr 2025

https://github.com/milaan9/06_python_object_class

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.

classes-and-objects encapsulation inheritance instance-methods instance-variables ipython-notebook oop-concepts oop-examples oop-principles oops-in-python operator-overloading operatoroverloding polymorphism python-tutor python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 05 Apr 2025

https://github.com/milaan9/90_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 own.

examples examples-python flow-control-examples object-oriented-examples python-advance-examples python-basic-examples python-examples python-examples-github python-exercises python-exercises-for-interview python-files-examples python-functions-examples python-programming python-tutor python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 05 Apr 2025

https://github.com/milaan9/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 been explained in detail with graphics for better understanding.

cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/milaan9/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 been explained in detail with graphics for better understanding.

cart-algorithm decision-tree decision-tree-algorithm decision-tree-classification decision-tree-classifier decision-tree-id3 decision-tree-playgolf dtreeviz graphviz id3-algorithm iris-classification python-decision-tree python-decisiontreeclassifier python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-forest tutor-milaan9

Last synced: 04 May 2025

https://github.com/milaan9/10_python_pandas_module

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

dataframe-drop-columns dataframe-drop-duplicates dataframe-from-dictionary dataframe-from-list dataframe-to-dictionary pandas-dataframe pandas-datareader pandas-excercises pandas-python pandas-series pandas-tricks-for-data-manipulation pandas-tutorial python-pandas python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/milaan9/02_python_datatypes

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

list-comprehension list-comprehensions python-datatypes python-dictionary python-dictionary-methods python-list-methods python-lists python-sets python-sets-methods python-string-maupulation python-string-methods python-strings python-tuple-methods python-tuples python-tutorial-github python-tutorial-notebook python-tutorials python4datascience python4everybody tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/milaan9/09_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 computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

array-indexing array-manipulations array-math array-methods array-reorganizing ipython-notebook numpy numpy-arrays numpy-exercise-solutions numpy-exercises numpy-matrix numpy-tutorial python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/milaan9/04_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 the value.

anonymous-functions built-in-functions builtin-functions docstrings functional-arguments functions-python global-local-nonlocal lamda-functions math-functions python-functions python-tutor python-tutorial-github python-tutorial-notebook python4beginner python4datascience python4everybody random-module recursive-functions tutor-milaan9 userdefined-functions

Last synced: 06 Apr 2025

https://github.com/milaan9/05_python_files

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is also easy and short. Python treats files differently as text or binary and this is important.

exception-handling exceptions file-directory file-exception file-exception-handeling file-handling file-input-output ipython ipython-notebook python-files python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody pythontutorial tutor-milaan9 userdefined-exceptions

Last synced: 06 Apr 2025

https://github.com/milaan9/08_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-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime modules.

current-date current-time datetime datetime-module ipython-notebook python-datetime python-sleep python-tutor python-tutorial python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody strftime strptime time-module timstamp tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/milaan9/03_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

break-continue-pass control-statements for-loop if-elif-else if-else-statements if-statement ipython-notebook jupyter-notebooks nested-for-loops nested-if-else-statements nested-while-loops python-flow-control python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9 while-loop

Last synced: 06 Apr 2025

https://github.com/milaan9/11_python_matplotlib_module

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

data-analysis data-visualization ipython-notebook matplotlib matplotlib-examples matplotlib-exercises matplotlib-figures matplotlib-heatmap matplotlib-pyplot matplotlib-python matplotlib-tutorial python-matplotlib python-tutor python-tutorial-github python-tutorial-notebook python-tutorials python4beginner python4datascience python4everybody tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/milaan9/DataScience_Interview_Questions

My Solutions to 120 commonly asked data science interview questions.

data-analysis data-science interview-preparation interview-questions machine-learning predective-modeling probability product-metrics python-jupyter-notebooks python-tutorial-github python4datascience statistical-inference tutor-milaan9

Last synced: 05 May 2025

https://github.com/milaan9/datascience_interview_questions

My Solutions to 120 commonly asked data science interview questions.

data-analysis data-science interview-preparation interview-questions machine-learning predective-modeling probability product-metrics python-jupyter-notebooks python-tutorial-github python4datascience statistical-inference tutor-milaan9

Last synced: 07 Apr 2025

https://github.com/milaan9/92_python_games

This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.

board-games bulls-and-cows bulls-and-cows-solver bulls-and-cows-with-ai game-2d games-with-ai ipython-notebook python-games python-games-with-ai python-tutorial-github python-tutorial-notebook python-tutorials python3 python4beginner python4datascience python4everybody tic-tac-toe tic-tac-toe-with-ai tutor-milaan9

Last synced: 06 Apr 2025

https://github.com/thewickedkarma/python-tutorial

Clear your python Basics here.

learn-python learn-python-fast learn-python-fundamentals learn-python-the-hard-way learn-python3-the-hard-way python-3-5 python-classes python-demo python-programming python-scripts python-tutorial python-tutorial-github python-tutorials python2 python3

Last synced: 13 May 2025

https://github.com/lolski9/random_forest

# Random_ForestThis repository contains code for analyzing and processing data using a Random Forest model. It includes steps for loading data, checking for missing values, and preparing features for machine learning. 🐱💻🌲

causal-forest classification cuda dtreeviz dvc econometrics example graphviz machine-learning python python-decision-tree python-tutorial-github randomforest-classification remote reproducibility statistics trees tutor-milaan9

Last synced: 15 Jun 2025