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23 search results found

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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

Python Tutorial ⭐ 1,261

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数

Xorbits ⭐ 946

Scalable Python DS & ML, in an API compatible & lightning fast way.

Bdci2018 Chinauuicom 1st Solution ⭐ 271

这是BDCI2018的联通赛题第一名解决方案

Tensorflow Ml Nlp ⭐ 157

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

3rd_security_competition ⭐ 47

第三届阿里云算法赛_i_hate_mcdonalds团队_解决方案

Datascienv ⭐ 41

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Machine Learning Alpine ⭐ 31

Alpine Container for Machine Learning

Loan Defaulter Prediction Machine Learning ⭐ 31

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Mlops Best Practices ⭐ 23

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

Dmatrix2np ⭐ 12

Convert XGBoost's DMatrix format to np.array

Swiftxgboost ⭐ 11

Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.

Ml Algorithms On Scikit And Keras ⭐ 8

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Xgboost_churn_analysis ⭐ 7

Telecommunication Company Churn Project

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

Ncaa 2018 Mens March Madness ⭐ 6

March Madness Predictions

Py3 Analysis ⭐ 6

python3数据分析

Apparel Recommendations ⭐ 6

Content Based Filtering and Apparel Recommendations.

Code Data Science ⭐ 5

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

Nba Match Result And Score Prediction ⭐ 5

Prediction Model of NBA Match Results and Scores

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