https://github.com/abtinz/machine-learning-with-python

Machine Learning with Python in Jupiter
https://github.com/abtinz/machine-learning-with-python

data-mining data-science fuzzy-logic machine-learning matplotlib numpy pandas preprocessing regression

Last synced: 5 months ago
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Machine Learning with Python in Jupiter

• Host: GitHub
• URL: https://github.com/abtinz/machine-learning-with-python
• Owner: Abtinz
• Created: 2022-02-12T18:28:40.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2024-06-16T15:35:43.000Z (over 1 year ago)
• Last Synced: 2025-04-07T15:02:01.659Z (9 months ago)
• Topics: data-mining, data-science, fuzzy-logic, machine-learning, matplotlib, numpy, pandas, preprocessing, regression
• Language: Jupyter Notebook
• Homepage:
• Size: 14.1 MB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Machine-Learning-with-Python

Welcome to my repository documenting the learning journey through various machine learning techniques and models. This collection encapsulates my hands-on experience with a range of methodologies aimed at both Supervised and Unsupervised Learning, Including Regression and Classification Models, Clustering Techniques, and Recommendation Systems.

Introduction and Data Processing:

    

   * Matplotlib, Numpy, Pandas

   * Statics and Plots:

        * varianse, mean, mode, median

        * Box Plot

        * Skewness and Quartiles

        * Q-Q Plot

        * Histogram Analysis

        * Correlation Detection

          

   * Data Cleaning

   * Normalizing

   * Missed Data

Regression :

    

   * Simple Liner Regression

   * Multiple Inputs

   * Polynominal Regression

   * NoneLiner Regression

    

Classification:

   * KNN

   * Decision Tree

   * Logestic Regression

   * Separated vector machine

   

Clustering:

  

   * KMeans

   * Hieracialy

   * DBSCAN

Recommandation systems:

   

   * Context Base

   * Collabrative Base

Data Mining:

   * Pre Processing

   * Regression

   * Classification

   * Clustering

Computational Intelligence:

   * Fuzzy Logic

   * Genetic Algorithms