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1. Data-Structures-and-Algorithm Data-Structures-and-Algorithm Public

   Data structures are objects or collections that can be used to store and organize data. Python offers a variety of built-in data structures that are designed to efficiently manage and manipulate da…

   Python 12

2. Python-for-Data-Science Python-for-Data-Science Public

   Python Libraries such as NumPy, Pandas, Matplotlib, Seaborn and Sickit-Learn, for Data Analysis, Data Visualization, EDA & Data Science

   Jupyter Notebook 14

3. Exploratory-Data-Anaylsis Exploratory-Data-Anaylsis Public

   EDA (Exploratory Data Analysis) is a data analysis approach that involves summarizing and visualizing the main characteristics of a dataset to gain insights and identify patterns or trends, helping…

   Jupyter Notebook 12

4. Machice-Learning-Fundamentals Machice-Learning-Fundamentals Public

   Machine Learning (ML) is a field of artificial intelligence (AI) that focuses on developing algorithms and models capable of learning from data to make predictions or decisions without explicit pro…

   Jupyter Notebook 14

5. Machine-Learning-Projects Machine-Learning-Projects Public

   This repository, named "ml_practice," serves as a learning ground for various machine learning concepts and techniques. The repository contains a collection of Python scripts and Jupyter notebooks,…

   Jupyter Notebook 18

6. Blockchain-Anomaly-Detection Blockchain-Anomaly-Detection Public

   Blockchain technology has emerged as a transformative force in the digital landscape, revolutionizing industries with its promise of secure, transparent, and immutable transaction records across de…

   Jupyter Notebook 14