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Search results for jupyter notebook sklearn
jupyter-notebook
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sklearn
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235 search results found
Aws Machine Learning University Accelerated Nlp
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2,150
Machine Learning University: Accelerated Natural Language Processing Class
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Imodels
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1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Mapie
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1,089
A scikit-learn-compatible module for estimating prediction intervals.
Aws Machine Learning University Accelerated Tab
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931
Machine Learning University: Accelerated Tabular Data Class
Ai_quant_trade
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819
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习
Hands On Data Analysis
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816
动手学数据分析以项目为主线,知识点孕育其中,通过边学、边做、边引导来得到更好的学习效果
Datastream.io
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761
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Sklearn Deap
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731
Use evolutionary algorithms instead of gridsearch in scikit-learn
Cryptocurrencyprediction
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715
Predict Cryptocurrency Price with Deep Learning
Daily Dose Of Data Science
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691
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Auto_ts
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634
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
Rep
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596
Machine Learning toolbox for Humans
Deep Learning From Scratch
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590
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《
Sklearn Evaluation
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447
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
The Elements Of Statistical Learning Python Notebooks
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441
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Sklearn Classification
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402
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Mozart
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400
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Thesemicolon
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312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Recsys_core
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268
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
Skift
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231
scikit-learn wrappers for Python fastText.
Mnist_tutorial
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222
A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.
Codeflare
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199
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Machine Learning
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196
从零基础开始机器学习之旅
Box Plots Sklearn
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194
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
Datasciencetools
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182
Useful Data Science and Machine Learning Tools,Libraries and Packages
Crepes
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172
Conformal classifiers, regressors and predictive systems
Time_series_prediction
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167
This is the code for "Time Series Prediction" By Siraj Raval on Youtube
Machine Learning Projects
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163
This repository consists of all my Machine Learning Projects.
Tensorflow Ml Nlp
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157
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Data Analysis
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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。
Bert Sklearn
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119
a sklearn wrapper for Google's BERT model
Machine_learning
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111
Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
Mipt Python
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103
Python lectures and tasks for MIPT and MSU students (in russian)
Classic Ml Methods Algo
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98
Review, theoretical analysis and implementation of classic Machine Learning methods
Competitive Data Science 1
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96
How to Win a Data Science Competition: Learn from Top Kagglers
Ijcai_cup_2017
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90
IJCAI-17 口碑商家客流量预测
Dataminingnotesandpractice
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88
记录我学习数据挖掘过程的笔记和见到的奇技,持续更新~
Data Science Machine Learning
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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.
Ml Webinar
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87
Machine Learning with sklearn tutorials (for Pearson)
Recommand Algorithme
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85
推荐算法实战(Recommend algorithm)
Pipelinevis
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79
Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.
Intro To Sklearn
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76
Notebooks covering introductory material to ML, ML with sklearn and tips.
Wangqiwen
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74
homepage
Coronavirus_visualization_and_prediction
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72
This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is officially named COVID-19 by the World Health Organization.
Ml_for_learner
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70
Implementations of the machine learning algorithm with Python and numpy
Mlatimperial2017
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70
Materials for the course of machine learning at Imperial College organized by Yandex SDA
Rgb Neural Net
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60
Physical visualisation of neural network learning using RGB leds, arduino and raspberry pi.
Examples
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60
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
Linear Regression Sklearn
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58
Multivariate linear regression with sklearn
Machine Learning
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56
Machine Learning for Social Scientists
Avito Demand
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54
Avito Demand Prediction Challenge 🏬
Python For Data Science
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53
This is the repository for the course Python for Data Science covering Python Basics, Data Science Libraries (e.g., Pandas, Matplotlib, Sklearn).
Machine Learning_zero To Hero
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53
Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.
Mlflow Spark Summit 2019
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52
MLFlow Spark Summit 2019 Presentation
Saak Transform
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51
Reinplementation of the paper On Data-Driven Saak Transform
Wechat Zhihu Csdnblog Code
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50
WeChat Official Accounts, zhihu and CSDN'blog code
Datascience365
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47
DataScience365
Spark Sklearn Airbnb Predict
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42
Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.
Aspect Based Sentiment Analysis
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40
A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.
Cracking Kaggle Competitions
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40
Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.
Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification
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38
NLP tutorial
Perfect Guide About Machine Learning Study
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35
파이썬 머신러닝 완벽 가이드를 교재로 진행한 쏘카 데이터 그룹 사내 스터디 보완 자료
Kmeans_elbow
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35
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Machine Learning Basics
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34
Tutorial on Machine Learning Basics with Python
Deep Learning And Paper
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33
【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、
Topic_modelling_financial_news
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32
Topic modelling on financial news with Natural Language Processing
Pytrading
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32
A library for stock market analysis and automated trading, powered by sklearn.
Python_for_datascience
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31
[Video]Colab Notebooks for Python for Data Science by Pearson
100 Days Of Ml Code
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31
A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.
Raspi Driving Car
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30
Capstone Auto RC Car
Kivymlapp
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29
The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.
Qatar_2022_prediction
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29
QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.
Machine Learning
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29
Machine learning for Project Cognoma
Breast Cancer Scikitlearn
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27
simple tutorial on Machine Learning with Scikitlearn
Decorators4ds
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27
Useful decorators every Data Scientist should know
Machine Learning With Scikit Learn Python 3.x
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27
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This
Incrementaltrees
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26
Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.
Machine Learning Nd Portfolio
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25
Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.
Manifold_learning
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25
Worked examples about manifold learning using sklearn and jupyter
Blogcode
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25
Sample code from my blog posts on Medium and my personal website.
Imagerearranger
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25
Rearrange mosaics by similarity.
Trt_pose_hand
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24
Real-time hand pose estimation and gesture classification using TensorRT
Hellinger Distance Criterion
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24
Random Forest model using Hellinger Distance as split criterion
Ensemble Bagging Boosting
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24
Dltemplate
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24
Boilerplate for Deep Learning Projects
Jinnan
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24
天池比赛:津南数字制造算法挑战赛【赛场一】初赛 17 名 Drop 队代码
Text Classification
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23
Text Classification using Multinomial Naive Bayes (implemented from scratch in python3)
Mlops Best Practices
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23
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
A B Testing With Machine Learning
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22
Implemented an A/B Testing solution with the help of machine learning
Stepwisereg
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22
Stepwise Regression-Python
Nlp Examples
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21
Natural Language Processing Examples with python
Learn Pandas
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20
Learning pandas, sklearn, numpy in Cantonese!
Ml Workflow Automation
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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.
Simbots
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20
Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .
Nlp_pipe_manager
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20
A pipeline for NLP projects using SkLearn
Ai For Medicine Specialization Deeplearning.ai
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19
[Coursera] AI for Medicine Specialization by "deeplearning.ai".
Yandex Praktikum Data Science Projects
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19
Repository containing portfolio of data science projects completed by me during the training courses at Yandex.Praktikum
Face_gender
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18
A simple demo of gender classifier by using dlib face recognition model as a feature extractor
Computer Vision Action
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18
computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...
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