Search results for random forest knn

knn x

random-forest x

29 search results found

Pytorch_classification ⭐ 1,055

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Machine Learning Models ⭐ 81

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Malware_detect2 ⭐ 38

Malware Classification using Machine learning

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

Machine Learning Models ⭐ 26

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Trajectory Analysis And Classification In Python Pandas And Scikit Learn ⭐ 25

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

Predictingclosingpricetomorrow ⭐ 22

Predict the change in closing price from one trading day to the next into one of four bands for any stock using technical indicators and financial ratios as features.

Machine Learning Techniques ⭐ 20

Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.

Jsmlt ⭐ 19

🏭 JavaScript Machine Learning Toolkit

Introduction To Machine Learning ⭐ 17

A document covering machine learning basics. 🤖📊

Wind Power Forecasting ⭐ 16

Wind Power Forecasting using Machine Learning techniques.

Amazon Fine Food Review ⭐ 16

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Dlime_experiments ⭐ 16

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Machine_learning_trading_algorithm ⭐ 13

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Email Spam Detection ⭐ 11

This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification

Disease Predictor ⭐ 10

A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.

Go Mining ⭐ 10

Data mining with Go.

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

Artificial Intelligence Course Projects S2023 ⭐ 7

AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)

Machine Learning Rare Event Classification ⭐ 7

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Enron_fraud ⭐ 6

Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

Census Income Data Set ⭐ 6

Applying machine learning techniques with R to Census Income data set, a.k.a Adult data set.

Machine Learning Bootcamp ⭐ 5

A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.

Gameratingspredictor ⭐ 5

Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).

1-29 of 29 search results

Privacy | About | Terms | Follow Us On Twitter