Top 20 logistic-regression Open-Source Projects
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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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.
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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.
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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
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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
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augmented-interpretable-models
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
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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
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Empirical_Study_of_Ensemble_Learning_Methods
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
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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.
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TitanicPassangerSurvivalPredictor
A Web-App that uses Machine-Learning to predict a persons chances of surviving the Titanic Wreckage as a Passenger
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CSGO-Pro-Gear-Performance-and-EDA
Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.
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machine-learning
🤖 Repository with machine learning algorithms and implementations (by zaxoavoki)
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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.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code
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...
Softmax is at the end of this source file: https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/ActivationFunctions.h
Project mention: Seeking Feedback on my R Package for Categorical Model Validation | /r/datascience | 2023-07-03Here is the repo if anyone is interested: https://github.com/donishadsmith/vswift
logistic-regression related posts
Index
What are some of the best open-source logistic-regression projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | 100-Days-Of-ML-Code | 43,701 |
| 2 | python-machine-learning-book | 12,151 |
| 3 | interviews.ai | 4,437 |
| 4 | machine_learning_basics | 4,235 |
| 5 | Machine-Learning-Specialization-Coursera | 2,869 |
| 6 | awesome-fraud-detection-papers | 1,562 |
| 7 | dota2-predictor | 365 |
| 8 | voice-gender | 331 |
| 9 | STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA | 116 |
| 10 | augmented-interpretable-models | 37 |
| 11 | MachineLearning | 18 |
| 12 | YPDL-SentimentAnalysis-LR | 11 |
| 13 | Empirical_Study_of_Ensemble_Learning_Methods | 10 |
| 14 | NLU-engine-prototype-benchmarks | 5 |
| 15 | TitanicPassangerSurvivalPredictor | 2 |
| 16 | vswift | 1 |
| 17 | CSGO-Pro-Gear-Performance-and-EDA | 1 |
| 18 | machine-learning | 0 |
| 19 | psych-verbs | 0 |
| 20 | Fake-News-Detection | 0 |
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