logistic-regression

Open-source projects categorized as logistic-regression

Top 20 logistic-regression Open-Source Projects

  • 100-Days-Of-ML-Code

    100 Days of ML Coding

    Project mention: Top 10 GitHub Repositories Every Developer Should Bookmark in 2024 | dev.to | 2024-02-07

    2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)

  • python-machine-learning-book

    The "Python Machine Learning (1st edition)" book code repository and info resource

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • interviews.ai

    It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

    Project mention: Deep Learning Interviews | news.ycombinator.com | 2023-05-05
  • machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  • Machine-Learning-Specialization-Coursera

    Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

    Project mention: Linear Algebra for Programmers | news.ycombinator.com | 2023-09-01

    I cannot recommend Andrew Ng's courses on Machine Learning enough. Something like this seems like it would cover everything you're looking for.

    https://www.coursera.org/learn/machine-learning

    I cannot speak to the author of the content of this github repo, but it appears they have completed the course and included all of the solutions here. It might let you jump right to what you're looking for.

    https://github.com/greyhatguy007/Machine-Learning-Specializa...

  • awesome-fraud-detection-papers

    A curated list of data mining papers about fraud detection.

    Project mention: awesome-fraud-detection-papers: NEW Extended Research - star count:1346.0 | /r/algoprojects | 2023-05-13
  • dota2-predictor

    Tool that predicts the outcome of a Dota 2 game using Machine Learning

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • voice-gender

    Gender recognition by voice and speech analysis

  • STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

    Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

    Project mention: STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA: NEW Other Models - star count:100.0 | /r/algoprojects | 2023-04-29
  • augmented-interpretable-models

    Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

  • MachineLearning

    From linear regression towards neural networks... (by aromanro)

    Project mention: Get gradient of Softmax activation | /r/learnmachinelearning | 2023-07-12

    Softmax is at the end of this source file: https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/ActivationFunctions.h

  • YPDL-SentimentAnalysis-LR

    While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first se

  • Empirical_Study_of_Ensemble_Learning_Methods

    Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

  • NLU-engine-prototype-benchmarks

    Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

  • TitanicPassangerSurvivalPredictor

    A Web-App that uses Machine-Learning to predict a persons chances of surviving the Titanic Wreckage as a Passenger

  • vswift

    Tools created for machine learning model evaluation

    Project mention: Seeking Feedback on my R Package for Categorical Model Validation | /r/datascience | 2023-07-03

    Here is the repo if anyone is interested: https://github.com/donishadsmith/vswift

  • CSGO-Pro-Gear-Performance-and-EDA

    Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

  • machine-learning

    🤖 Repository with machine learning algorithms and implementations (by zaxoavoki)

  • psych-verbs

    Research experiment design and classification of Romanian emotion verbs

  • Fake-News-Detection

    To combat the spread of fake news, it’s critical to determine the information’s legitimacy, which this Data Science project can help with. To do so, Python can be used, and a model is created using TfidfVectorizer.LogisticRegression model is used to train and test the data ,numpy,pandas and some other packages are used in this project.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2024-02-07.

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