Utilizing bulldozer's auction sale price Dataset to predict the Price of Bulldozers!

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.

This repository contains all the assignments and related files for excelR data science and machine learning course.

Used machine learning models to predict spam mails, loan, diabetes etc... also done web scraping, sentiment analysis, EDA. Have fun.

Crop Recommendation System

"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

This project demonstrates email classification using logistic regression.

* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering

This project aims to develop an NLP model for tasks like sentiment analysis, text classification, or named entity recognition.

XGBoost Predictive Model for TikTok's Claim Classification: EDA, Hypothesis Testing, Logistic Regression, Tree-Based Models

Best for beginners | Well explained ML algorithms | organized Notebooks | Case Studies

📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.

Binary Classification of a regression problem

Microservices for a tinder app but with memes ✨

Training model to predict passenger survival.

Advanced stadistics and predictions api for my TFG