Rock facies classification using well log data employing ML algorithms

This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.

Developed an Amazon laptop price prediction tool using machine learning algorithms, integrated with a Streamlit app for an interactive user experience.

Implementing all the math in basic ML algorithms by scratch using only Numpy

Implementation of Naive Bayes for text classification across multiple languages, focusing on natural language processing and multilingual text analysis.

Hey there! 👋 This repository is a modest collection of coding practices I've come across during my interview study. Feel free to take a look and see if there's anything helpful for you. Happy coding! 🚀

Machine learning projects and tutorials, showcasing practical applications and implementations using Python and various machine learning libraries.

This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

In this repository I have explained different ML Algorithms with their code.

Practice Implementation of All the Important ML Algorithms from Scratch as a Part of Master's Machine Learning Course.

Embark on a journey of data-driven insights with our diabetes research project. Leveraging Python's pandas, matplotlib, and scikit-learn, we preprocess, visualize, and analyze 330 health features. Employing logistic regression, decision trees, KNN, and SVM, we predict diabetes with precision.

Led a machine learning based system to predict bioactivity of provided drug data, for scientists to help in their further research of new drugs for the treatment of Alzheimer’s disease by using official dataset from ChemBL database.

Coleção de algoritmos de Machine Learning

This repository contains implementations of various machine learning models for both classification and regression tasks. It serves as a comprehensive resource for understanding and experimenting with different algorithms in supervised learning.

Python implementations of basic machine learning algorithms

The project aims to analyze past placement data, uncover factors affecting success, and develop a machine learning model to predict future placement outcomes. Through this, we aim to gain insights and build a reliable model for accurately forecasting candidate placements.

Pattern Recognition Systems Course - 4th year, 1st semester

implementation of LogisticRegression

Flask web app used to predict the personality of a person.

Web app to predict live probability of win percentage of match