This is the Data Mining Porject for predicting the grade of student before the final examination and before the Mid 2 examination. I use Python and Jupyter Notebook for this Project.

Comparision of classifiers titanic dataset

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

A modern GUI Based Face Recognition and Emotion Predictor using Machine Learning

This is a Smart Attendance System designed using a pre-trained model called Haar-Cascade Classifier, OpenCV and other various Dependencies to mark the attendance in a smarter way and saves the lecture time.

Heart attack data analysis with python

The project provides information about breast cancer to help doctors predict if a person has it.

This project focuses on developing machine learning models for predicting the presence of diabetes using the logistic regression, support vector machine (SVM) and KNeighborsClassifier algorithms.

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

Advanced Diabetes prediction system with accuracy score train data is 99 and test data 91 using machine learning algorithm

A flask web application that integrates a machine learning model with the capability to make accurate predictions regarding the presence of Parkinson's disease in individuals based on the analysis of their voice recordings

A data-driven project to predict the success of Falcon 9 rocket landings, crucial for cost analysis and competitive strategy in the space industry. Involves data manipulation in Pandas, JSON data processing, and insightful analysis using Python.

Final assignment of the intelligent agents & searching solutions module of the Artificial Intelligence Diploma (DGTIC - UNAM)

Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.

Deep Learning; Machine Learning ; Sklearn ; Seaborn ;Matplotlib; Pycharm

This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.

This GitHub repository hosts a machine learning project focused on predicting customer interest in insurance products. Leveraging various ML algorithms, including decision trees, logistic regression, and ensemble methods, this project analyzes historical customer data to create predictive models.

this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

In this project I use different models and hyperparameters to classify fruits types and compare the results of each approach.