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

Compare STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA vs psych-verbs and see what are their differences.

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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA psych-verbs
3 1
116 0
- -
0.0 0.0
over 1 year ago almost 3 years 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

psych-verbs

Posts with mentions or reviews of psych-verbs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-06.

What are some alternatives?

When comparing STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA and psych-verbs 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

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.

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech

dtreeviz - A python library for decision tree visualization and model interpretation.

linear-tree - A python library to build Model Trees with Linear Models at the leaves.

MouseView.js - Attentional mouse tracking. Alternative to online eye tracking. Eye tracking without the eyes!

movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface

social-perception - Studying sociopolitical attitudes and moving the human perspective using psychographic and sociodemographic data from the European Social Survey.

world-languages - Data analysis & visualization on the vulnerability status of the world's languages