TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.

Brazilian index direction prediction model for the first hour of the day based on Focus reports

A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴

Data preprocessing & Data cleaning project

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Collection of Some of My Machine Learning Projects

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

The outcome of this project is a Streamlit web application specifically developed for the purpose of predicting resale flat prices in Singapore. The application allows users to enter a range of characteristics pertaining to flats in Singapore and then generates predictions via a machine learning model.

Clustering for mixed-type data

PhishShield : Phishing URL Detector

hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch

This project involves clustering analysis on a dataset of active credit card holders to segment customers based on their usage behavior. By applying clustering algorithms and techniques such as scaling, dimensionality reduction, and hyperparameter tuning, personalized recommendations for financial products are generated.

SamGIS can do machine learning-based (Segment Anything by Meta - Facebook) image segmentation tasks applied to GIS and geo data (there is also a SPA frontend similar to https://github.com/trincadev/samgis-fe used on HuggingFace)

Introduccion a Machine Learning: Sistemas de regresión & clasificación, algoritmos de clusterización, sistemas de recomendación, Machine Learning. Autor: Paulino Esteban Bermúdez R.

Utilize clustering algorithms to segment customers based on their spending behavior and demographic information. Provide actionable insights to marketing teams for targeted campaign strategies.

📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈

A detailed comparative analysis with proposed best model to detect CVDs early

Analysis of data collected by Salifort Motors' HR department to identify key factors driving employee turnover, build a predictive model, and provide recommendations to increase employee retention.