Jupyter Notebook logistic-regression

Open-source Jupyter Notebook projects categorized as logistic-regression

Top 11 Jupyter Notebook logistic-regression Projects

  • python-machine-learning-book

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

  • machine_learning_basics

    Plain python implementations of basic machine learning algorithms

  • 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.

  • 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...

  • 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.

  • 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

  • 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.

  • 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.

  • CSGO-Pro-Gear-Performance-and-EDA

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

  • 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.

  • machine-learning

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

  • psych-verbs

    Research experiment design and classification of Romanian emotion verbs

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 2023-09-01.

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