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81 search results found

Tutorials ⭐ 8,562

机器学习相关教程

Deeplearning ⭐ 2,347

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Lambda Packs ⭐ 1,100

Precompiled packages for AWS Lambda

Pyda 2e Zh ⭐ 824

📖 [译] 利用 Python 进行数据分析 · 第 2 版

Onelinerhub ⭐ 774

Thousands of code solutions with clear explanation @ onelinerhub.com

Daily Dose Of Data Science ⭐ 691

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Apachecn Ds Zh ⭐ 237

📖 [译] ApacheCN 数据科学译文集

Machine Learning ⭐ 196

从零基础开始机器学习之旅

Sklearn Build Lambda ⭐ 189

Build the numpy/scipy/scikitlearn packages and strip them down to run in Lambda

Py_ml_utils ⭐ 167

Some small utility modules to help with pandas, numpy and sklearn usage in other projects

Machine Learning Projects ⭐ 163

This repository consists of all my Machine Learning Projects.

Tensorflow Ml Nlp ⭐ 157

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Data Analysis ⭐ 155

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Ml Cheatsheet ⭐ 149

A constantly updated python machine learning cheatsheet

Ds Ai Tech Notes ⭐ 138

📖 [译] 数据科学和人工智能技术笔记

Tiny_ml ⭐ 137

numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法

The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

Data Science Machine Learning ⭐ 88

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

Python For Data Science ⭐ 53

This is the repository for the course Python for Data Science covering Python Basics, Data Science Libraries (e.g., Pandas, Matplotlib, Sklearn).

3rd_security_competition ⭐ 47

第三届阿里云算法赛_i_hate_mcdonalds团队_解决方案

Machinelearning ⭐ 44

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用s

Cracking Kaggle Competitions ⭐ 40

Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.

Machine Learning Basics ⭐ 34

Tutorial on Machine Learning Basics with Python

Data Analyst Nanodegree ⭐ 26

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Techloop Ml Plus ⭐ 25

Archives and Tasks for ML+ sessions

Linearregression ⭐ 24

An implementation of Linear Regression from scratch in python 📈

Mlops Best Practices ⭐ 23

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

Learn Pandas ⭐ 20

Learning pandas, sklearn, numpy in Cantonese!

Ml Workflow Automation ⭐ 20

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Ocaml Sklearn ⭐ 19

scikit-learn for OCaml

Yandex Praktikum Data Science Projects ⭐ 19

Repository containing portfolio of data science projects completed by me during the training courses at Yandex.Praktikum

Object Detection With Svm And Opencv ⭐ 18

detect objects using svm and opencv

Object Detection With Deep Learning ⭐ 17

demonstrating use of convolution neural networks to detect objects in a video

Lambda Chainer ⭐ 16

AWS Lambda function with Pandas, Sklearn, Scipy, Numpy and Chainer

Tchatbot ⭐ 15

A ChatBot framework to create customizable all purpose Chatbots using NLP, Tensorflow, Speech Recognition

Stock Prediction Using News Info Sentiment ⭐ 14

Application of LSTM on stock data with integration of news info. It turns out that finance and political news directly relate to the stock prices.

Sklearn Predict ⭐ 13

机器学习数据，预测趋势并画图

Python3 Docker Devenv ⭐ 13

Docker Start Guide with Python Development Environment

Machine Learning ⭐ 13

Machine Learning algorithms Implementation from Scratch

Linear regression to perform predictive analysis on individual's income.

Sadlearn ⭐ 11

machine learning tutorial package

LSTM Model to predict BTCUSD ticker values

Udacity Machine Learning Engineer Nanodegree ⭐ 10

Notes Exercises and Assignments for Udacity Machine Learning Engineer Nanodegree

Devfest Deeplearning ⭐ 10

DevFest 2019 Deep Learning Track

Student Grade Prediction ⭐ 9

Predict student's performance in high school, using Linear Regression and training multiple models.

论文基于注意力机制的卷积神经网络模型源代码

Meanshiftclustering ⭐ 9

Implement mean shift cluster from numpy + sklearn + GPU-pytorch

Machine Learning Using Python ⭐ 9

This repo contains the files created for machine learning using python

Neural Network Decision Boundary ⭐ 8

Realtime Recommender ⭐ 8

Spark-Kafka Realtime recommender Engine.

Used Phone Price Prediction Project ⭐ 8

This project uses machine learning to predict the prices of used phones based on various features like brand, operating system, and new price. The model is built using Python and Flask, and deployed as a web app on Azure.

100 Days Of Machine Learning ⭐ 8

A Repository for Machine Learning Algorithms for easy Understanding

Hackathon_motorica_2022 ⭐ 8

3 этапа хакатона, совместно проведенного Motorica и Skillfactory (numpy, tensorflow)

Heroku Flask Sklearn ⭐ 8

Heroku buildpack: Python, Numpy, Scipy, Scikit-learn along with instructions to install Flask, the web framework, and Gunicorn, the web server.

Text Similarity ⭐ 7

Text Similarity using BM25 algorithm and WordNet

Functions and code snippets to help save the time!

Imagerecognitionai ⭐ 7

Recognition of the images with artificial intelligence includes train and tests based on Python.

Data Science Python Tutorials ⭐ 7

Repository contains many notebooks focused on scientific Python usage in tutorial way

Machine Learning From Scratch ⭐ 7

This project implements the machine learning algorithms from scratch and compares the implementation with sklearn.

Rrules Rule Based Classifier ⭐ 7

RRULES is a rule-based classifier that outperforms RULES, the original algorithm on which it is based, both in performance and efficiency.

Full Stack Data Science ⭐ 7

Full stack Data science : How to become a data scientist

Data Scientist ⭐ 6

A Minimalist RoadMap to the Data Science World

Pet_projects ⭐ 6

🎭 Проекты, которые я выполняю самостоятельно. Датасеты беру из открытых источников.

Roman Urdu Abusive Comment Detector ⭐ 6

detects abusive comments

Deep Learning For Data Science ⭐ 6

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

K Means_customer_segmentation ⭐ 6

Using K-Means algorithm for customer segmentation due to credit card behavior

Meetup Github Chatgpt Pln ⭐ 6

Clase de fundamentos de procesamiento de lenguaje natural

Housing Rent Prediction ⭐ 6

End to End Machine Learning Project along with deployment.

Dga_domain_test ⭐ 6

基于lstm的DGA域名识别

Code Data Science ⭐ 5

Tutorials, demos, and tests on using software to solve data science problems.

Datacamp_projects ⭐ 5

🏰 Проекты, сделанные на ресурсе DataCamp (Python, R, SQL). Ссылка: https://app.datacamp.com/learn

记录一些日常用的 python demo

Credit Card Fraud Detection ⭐ 5

Fraud detection is a binary classification problem in which the transactions data is analyzed and classified in “legitimate” or “fraudulent”

Technocolab Final Project ⭐ 5

Final project made during my internship in Technocolabs.

Datacamp Projects ⭐ 5

Data Camp Python Projects

Gpu_gspca ⭐ 5

Python and C/C++ library for fast, accurate PCA on the GPU

Machinelearningprojects ⭐ 5

This Repository contains the code, dataset and projects that I made during the learning of machine learning,

Nasa Project Plastic Marine Debris Classification Machine Learning Software ⭐ 5

NASA Project; Plastic Marine Debris Classification-Machine Learning Software

Machine Learning Python Bootcamp ⭐ 5

Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco

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