Você foi contratado por uma empresa de e-commerce que está buscando entender melhor o comportamento de seus clientes para personalizar as suas campanhas de marketing. Para isso, a empresa disponibilizou uma base de dados em csv contendo dados sobre clientes, produtos e transações da loja realizadas entre os anos de 2010 e 2011.

In this repository i am going work on multiple Classification models and technique's.

Technical Articles

GrocerySegmentAI is a platform as a service for grocery businesses. This product provides a way for these businesses to upload customer data and receive accurate predictions on which customers will buy a specific product on their next order.

This code does linear regression using scikit-learn and custom NumPy implementation. It loads datasets, removes NaNs, scales features, trains and evaluates models, and plots best fit line. Custom model uses gradient descent. Outputs R2 score, coefficients, and intercept.

CyberSight is our final project at Bar-Ilan University. The primary objective of the project is to identify whether a given picture of a human face is generated by artificial intelligence or depicts a real person.

This repo consists of hands-on ML experiments for learning purposes.

Research focuses on the use of Machine Learning algorithms to create and Intrusion Detection System(IDS) that is able to predict and categorize different types of network attacks.

This is a project that was completed while taking the Udemy course - Python for Machine Learning & Data Science Masterclass.

Machine Learning Course from Udemy

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

Create machine learning models capable of classifying candidate exoplanets.

Anime recommendation systeme using ML

Considere o preço diário do Bitcoin disponível na coluna “PriceUSD” da tabela “https://coinmetrics.io/newdata/btc.csv". Faça um algoritmo (python, R , Excel...) bem simples (média movel, regressão linear,etc..) para prever o preço do dia seguinte. Compartilhe o código, brevemente explique o seu funcionamento e apresente alguns resultados.

Predicting match winners in the English Premier League using web scraping, data cleaning, and machine learning in Python.

Curso de data science para análise de dados e criação de modelo para previsão de notas do ENEM

Perform "data cleaning" and use a Linear Regression Machine learning Model

Website for MAT388E-Data Analysis in Fundamental Sciences taught by Gül İnan at ITU Math Eng in Fall 2023.

Titanic Survival Prediction using ML and Flask Deployment.

Ejemplos sobre las redes neuronales CNN, utilizando Python y sus librerias de ciencia de datos; así como: Keras, Tensorflow, Estimator API y Excel.