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Rokko-Vencht / regex-generator

Star 0

🛠 Generate validated regular expressions easily with this open-source tool. Ideal for developers needing quick regex solutions for forms and text processing.

flex compiler fuzzy-matching regex-pattern text-processing python-regex-extractor lexical-analyzer regex-util regex-engine generator-function python-regex python-tutorial-notebook python-iterators python-tutorial-github python4datascience python-closure automod-discord python-advance-topics
  • Updated Nov 12, 2025
  • JavaScript

milaan9 / 92_Python_Games

Star 193

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.

python-tutorials tic-tac-toe ipython-notebook game-2d python3 bulls-and-cows python4beginner board-games bulls-and-cows-solver python-games python-tutorial-notebook python4everybody python-tutorial-github python4datascience python-games-with-ai tic-tac-toe-with-ai bulls-and-cows-with-ai tutor-milaan9 games-with-ai
  • Updated Mar 6, 2024
  • Jupyter Notebook

milaan9 / Python_Natural_Language_Processing

Star 202

This repository consists of a complete guide on natural language processing (NLP) in Python where we'll learn various techniques for implementing NLP including parsing & text processing and understand how to use NLP for text feature engineering.

nlp ipython-notebook named-entity-recognition bag-of-words tf-idf stopwords tokenization stemming lemmatization sentence-segmentation termfrequency partofspeech-tagger vocabulary-matching python4everybody python4datascience tutor-milaan9 inversedocumentfrequency
  • Updated Jul 4, 2022
  • Jupyter Notebook

milaan9 / Machine_Learning_Algorithms_from_Scratch

Star 191

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science machine-learning random-forest machine-learning-algorithms naive-bayes-classifier decision-trees fitting-algorithm dynamic-time-warping machine-learning-python singular-value-decomposition value-iteration-algorithm frequentist-methods error-functions gaussian-naive-bayes machine-learning-matlab python4datascience tutor-milaan9 matlab4datascience
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / Python_Computer_Vision_from_Scratch

Star 243

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 for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

machine-learning computer-vision image-processing ipython-notebook feature-extraction image-manipulation image-recognition image-analysis canny-edge-detection eigenfaces hough-lines sobel-filter sobel-operator dtw-algorithm python4everybody python4datascience tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 12_Python_Seaborn_Module

Star 230

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk thr…

heatmap data-visualization seaborn boxplot violinplot ipython-notebooks facetgrid python-visualization scatterplot-visualization barplots seaborn-plots lmplot seaborn-tutorial distplot stripplots python-seaborn seaborn-image python4everybody python4datascience tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / Python_Decision_Tree_and_Random_Forest

Star 264

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.

graphviz random-forest decision-tree decision-tree-classifier python4beginner decision-tree-algorithm id3-algorithm python-decisiontreeclassifier iris-classification cart-algorithm decision-tree-classification decision-tree-id3 python-tutorial-notebook python4everybody python-tutorial-github python4datascience python-decision-tree decision-tree-playgolf tutor-milaan9 dtreeviz
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 11_Python_Matplotlib_Module

Star 225

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 …

python-tutorials ipython-notebook data-visualization data-analysis matplotlib python4beginner matplotlib-figures python-matplotlib matplotlib-tutorial matplotlib-heatmap matplotlib-pyplot matplotlib-python python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience matplotlib-examples matplotlib-exercises tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 08_Python_Date_Time_Module

Star 227

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 dateti…

python-tutorials datetime ipython-notebook strftime current-date current-time python-tutorial python4beginner strptime timstamp python-tutorial-notebook python-tutor python-datetime time-module python4everybody python-tutorial-github python4datascience datetime-module python-sleep tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 03_Python_Flow_Control

Star 229

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

python-tutorials ipython-notebook jupyter-notebooks python4beginner control-statements for-loop while-loop if-elif-else if-statement nested-if-else-statements python-tutorial-notebook if-else-statements python4everybody nested-for-loops python-tutorial-github python4datascience python-flow-control nested-while-loops break-continue-pass tutor-milaan9
  • Updated Aug 26, 2023
  • Jupyter Notebook

milaan9 / 09_Python_NumPy_Module

Star 237

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.

python-tutorials numpy ipython-notebook array-methods numpy-tutorial array-manipulations python4beginner numpy-exercises numpy-arrays array-indexing numpy-matrix python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience numpy-exercise-solutions array-math array-reorganizing tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 04_Python_Functions

Star 235

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 recursive-functions math-functions python-functions builtin-functions docstrings python4beginner built-in-functions random-module userdefined-functions python-tutorial-notebook python-tutor lamda-functions functions-python python4everybody python-tutorial-github python4datascience global-local-nonlocal functional-arguments tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 10_Python_Pandas_Module

Star 246

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.

python-tutorials pandas-dataframe python4beginner pandas-tutorial python-pandas pandas-datareader pandas-python pandas-tricks-for-data-manipulation pandas-series pandas-excercises python-tutorial-notebook python-tutor python-tutorial-github python4datascience dataframe-from-dictionary dataframe-from-list dataframe-drop-columns dataframe-to-dictionary dataframe-drop-duplicates tutor-milaan9
  • Updated Dec 9, 2022
  • Jupyter Notebook

milaan9 / 05_Python_Files

Star 229

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 …

python-tutorials ipython ipython-notebook file-handling exceptions exception-handling python4beginner file-input-output python-files pythontutorial python-tutorial-notebook python-tutor python4everybody python-tutorial-github python4datascience file-exception file-exception-handeling file-directory tutor-milaan9 userdefined-exceptions
  • Updated Dec 9, 2022
  • Jupyter Notebook

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