Here we have fully implemented a number of algorithms related to machine learning

Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"

Visualizing features & data for ML using Random Forests, NLP & graphs for PCA analysis.

Project to demonstrate various clustering algorithms for customer segmentation.

R's BiPlot visual for PCA in Python

IU Lessons

Data Science, ML & DL Notebooks

Up to 90% accuracy with just 5 features using KNN algorithm and PCA for feature engineering. The dataset contained less than 1000 observations. The model's accuracy could be improved using more observations, further hyperparameter optimization and feature engineering

"Welcome to my GitHub repository! Here, you'll find a hub of projects and code dedicated to the fascinating world of statistical analytics. From crunching numbers to extracting meaningful insights, join me on a journey through the realm of data-driven decision-making. Let's explore the power of statistics together!"

🌻Flower Recognition using Multi-class classification 🌻

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

Con el objetivo de identificar las variables que son de mayor importancia para ser campeón en la Premier League, realizaremos un análisis de componentes principales, como marco referencial el campeón de esta liga es el equipo que más partidos ganados tenga a lo largo de los 38 partidos de la temporada.

Using text analytics to understand cultural patterns in philosophical texts. Exploring gender, author, region, and time-period differences, and extracting key philosophical concepts.

This project aims to cluster various cryptocurrencies based on their market performance using machine learning techniques. The analysis involves several key steps: normalizing the data, reducing its dimensionality with Principal Component Analysis (PCA), and using K-Means clustering to identify distinct groups.

This project uses customer segmentation to analyse customer data from a firm and then draws findings and data-driven ideas from it. The data collection consists of consumer data from Ulabox, an online supermarket.

🚀 Welcome to the AIML Repository! 📚✨ Dive into a treasure trove of AI and Machine Learning knowledge. 🤖💡 Explore meticulously curated notes, textbooks, and program resources. 📖👩‍💻 Your go-to source for mastering AIML in an exciting learning space! 🌐

Data science include Data Analysis, Machine learning , EDA,PCA and Data Structure and Algorithms

Feature engineering is the process of converting raw data into a more accessible format, optimizing it for effective utilization in machine learning models.

Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.

Different projects to discover Data Science