651 Open source projects that are alternatives of or similar to regression-stock-prediction

Machine learning with scikit-learn tutorial at PyData Chicago 2016

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A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Email clustering with machine learning

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sources for daal4py - a convenient Python API to oneDAL

基于新浪微博数据的情感极性分析

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Credit Risk analysis by using Python and ML

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50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

A scikit-learn compatible library for anomaly detection

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A clustering tutorial with scikit-learn for beginners.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

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A modular active learning framework for Python

Machine Learning algorithms coded from scratch

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Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

🎓 Jupyter notebooks from UFC data science course

Beta Machine Learning Toolkit

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

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Classification of Breast Cancer diagnosis Using Support Vector Machines

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

a frame of amd-v svm nest

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

(Deprecated) Scikit-learn integration package for Apache Spark

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

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notebooks with example for machine learning examples

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Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

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Machine learning in Matlab using scikit-learn syntax

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A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

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Machine Learning in .NET Core.