python 0基础入门机器学习
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Updated
Feb 5, 2022 - Python
python 0基础入门机器学习
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
Make a prediction to determine the price of each launch of a rocket, if the rocket can recover the first stage like SpaceX's Falcon 9.
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
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.
This repository have all pratice tutorial about python and its libraries.
Predicting match winners in the English Premier League using web scraping, data cleaning, and machine learning in Python.
Ejemplos sobre las redes neuronales CNN, utilizando Python y sus librerias de ciencia de datos; así como: Keras, Tensorflow, Estimator API y Excel.
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
Diabetes Prediction Web App
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