Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

A practical guide to topic mining and interactive visualizations

playing with top chart app store icons

A clustering tutorial with scikit-learn for beginners.

It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm.

H2O-3 Examples in R

Data Science Project with Python to analyze and discover insights of the detailed attributes of each player registered in the latest edition of FIFA 19 database.

Crime Analysis | APP & Dashboard Integrated

The End of Science: The quest for knowledge used to begin with grand theories. Now it begins with massive amounts of data. Welcome to the Petabyte Age.

Visualizations of common NLP tasks

Contains a collection of my experimentations, explorations, and data analysis of random datasets

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.

Categorization of world countries using socio-economic and health factors

Customers RFM Clustering (Market Segmentation based on Behavioral Approach)

Modelling road to victory in Pokémon Unite 🏆 with statistical learning methods in R 🧪

Full Flask - BI application used for segmentation - machine learning

Project recommendation system for DonorsChoose.org in R based on RFM analysis and K-Means Clustering

Multiple Regression, Ridge Regression, Lasso Regression, ElasticNet, Decision Trees (CART), Random Forest, XGBoost, LightGBM, Gradient Boosting, ANN, KNN Logistic Regression, SVM Hierarchical Clustering, K-Means , PCA