sumony2j Goto Github PK

50-days-dsa-revision

50 Days revision of solving problems on Data Structure & Algorithm

agglomerative_clustering

Python implementation of Agglomerative Clustering algorithm for unsupervised learning. Hierarchical clustering method that merges similar clusters iteratively. Suitable for various data types and shapes, offering insights into hierarchical structures within datasets.

animated-design

A Design where moving balls of changing colours and sizes are shown, has been created using javascript

animated-form

An educational animated Form,designed using javascript

animated-photo-gallery

A Photo gallery where someone can select their choices and get it's corresponding results.It is created using Html,Css,Javascript.

applied-machine-learning

A step-by-step guide to get started with Applied Machine Learning

artventure

Apply various filters on images

blogging-website

A technical blogging responsive website has been created from scratch using Html and Css

covid-19_analysis_asia

covid19_data_analysis

covid19_data_vizualization

data_cleaning_preprocessing

This repository consists of cleaning and preprocessing datasets using various python libraries

dbscan_clustering

Python implementation of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm for unsupervised learning. Identifies clusters of varying shapes and sizes in data, robust to noise. Useful for data exploration and anomaly detection.

decision_tree_classification

Powerful Python implementation of Decision Tree Classifier. Robust algorithm for classification tasks, offering intuitive insights into data patterns. Ideal for both educational and practical machine learning projects.

deepcarex

deepcarex-datasets

deepcarex-model_codes

deepcarex-models

deepcarex-website

exploratory-data-analysis---retail-supermarket

● Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ ● As a business manager, try to find out the weak areas where you can work to make more profit. ● What all business problems you can derive by exploring the data? ● You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS) ● Dataset: https://bit.ly/3i4rbWl

find-s_algorithm

Implement Find-S algorithm which is used in concept learning

jenkins-example-docker

k-means_clustering

Python implementation of K-Means Clustering algorithm for unsupervised learning. Efficiently groups data points into clusters based on similarity. Simple yet powerful tool for data exploration, segmentation, and pattern recognition tasks in various fields.

knn_classification

Python implementation of K-Nearest Neighbors (KNN) Classifier for classification tasks. Simple and intuitive algorithm for pattern recognition. Ideal for beginners in machine learning.

knn_regression

Python implementation of K-Nearest Neighbors (KNN) Regressor for regression tasks. Versatile algorithm for predicting continuous outcomes based on neighboring data points. Suitable for various machine learning applications.

linear_regression

Explore a collection of linear regression projects showcasing implementations and applications in Python. From simple linear regression to advanced techniques like ridge and polynomial regression, this repository offers hands-on examples with diverse datasets.

logistic_regression

Discover concise Python implementations of logistic regression, complete with code samples and explanations, aiding understanding and application in machine learning

m.sc_data_science_journals

Curated GitHub repository showcasing M.Sc. Data Science journals, covering diverse topics in data science and machine learning for exploration

my-python_ide

Details of my python setup, where i'm using lightweight editor vim with plugins.

naive_bayes_classification

Python implementation of Naive Bayes Classifier. Simple, efficient, and easy to use. Ideal for beginners and enthusiasts alike.