#计算机科学#a delightful machine learning tool that allows you to train, test, and use models without writing code
翻译 - 一种无需编写代码即可训练,测试和使用模型的机器学习工具
#计算机科学#Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
#大语言模型#My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍
#计算机科学#Disease Prediction based on Symptoms.
#计算机科学#Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas e...
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
#计算机科学#This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
#计算机科学#Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectorie...
#计算机科学#Smart agricultural system to recommend most profitable crops to farmers
Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle
#计算机科学#Spatial cross-validation in Python.
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
#计算机科学#A Classification Problem which predicts if a loan will get approved or not.
#计算机科学#This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (i...
A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.
An evaluation of word-embeddings for classification
Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
#计算机科学#Leaf Disease Detection using Image Processing and Deep Learning
#计算机科学#Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.