STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA VS Intrusion-Detection-System-Using-Machine-Learning

Compare STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA vs Intrusion-Detection-System-Using-Machine-Learning and see what are their differences.

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 (by kennedyCzar)
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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA Intrusion-Detection-System-Using-Machine-Learning
3 3
116 326
- 3.7%
0.0 2.9
over 1 year ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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

Posts with mentions or reviews of STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA. We have used some of these posts to build our list of alternatives and similar projects.

Intrusion-Detection-System-Using-Machine-Learning

Posts with mentions or reviews of Intrusion-Detection-System-Using-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.

What are some alternatives?

When comparing STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA and Intrusion-Detection-System-Using-Machine-Learning you can also consider the following projects:

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

VideoX - VideoX: a collection of video cross-modal models

MinVIS

Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers

Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.

textual_inversion

PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.

catboost-quickstart - 🐈 🚀 Quickstart machine learning notebooks for creating CatBoost models

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#

awesome-gradient-boosting-papers - A curated list of gradient boosting research papers with implementations.

benchmarks - Comparison tools