listianadwi02

listianadwi02's Stars

• abdulfatir/twitter-sentiment-analysis

  Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

  Language:Python1.6k4831603

• jerry81333/StockProdiction

  Stock Prodiction by SVM & ARIMA

  Language:Python21295114

• mpezeshki/Recurrent-Neural-Networks

  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.

  Language:Python9211231

• andrequant/MPT_BlackLitterman

  Implementation of Modern Portfolio Theory and Black Litterman Model

  Language:Jupyter Notebook194

• dmjz/BLP

  Black-Litterman model portfolio optimizer

  Language:Python1612

• gokhanntosun/adaptive-equalization

  Adaptive equalizer implementations based on RLS(Recursive Least Squares) and LMS(Least Mean Squares).

  Language:MATLAB16125

• AleksandarHaber/Disciplined-Python-Implementation-of-the-Recursive-Least-Squares-Method

  This is a disciplined Python implementation of the Recursive Least Squares Method

  Language:Python15210

• intelligent-control-lab/AGen

  Adaptable generative prediction using recursive least square algorithm

  Language:Jupyter Notebook15423

• tianrosandhy/Skripsi-Sentimen-Analisis-K-Means-KNN

  Ini skripsi sederhana saya (yg tentunya udah diACC) tentang metode analisis sentimen komentar dengan methode K-Means dan KNN. Contoh data kalimat yang digunakan adalah menggunakan angket evaluasi dosen di kampus. Metode ini bisa diterapkan untuk analisis sentimen dasar konteks lainnya juga.

  Language:PHP12102

• thanhtbt/ATT-miss

  [SP 2024] A Novel Recursive Least-Squares Adaptive Method For Streaming Tensor-Train Decomposition With Incomplete Observations. In Elsevier Signal Processing, 2024.

  Language:MATLAB10103

• Dragon-Fruits/Black-Litterman

  Black-Litterman model is an asset allocation model that was first developed in 1990 at Goldman Sachs by Fischer Black and Robert Litterman after whom it was named. It was an attempt to modify the existing framework for asset allocation that was established by Harry Markowitz, known as the Mean-Variance Analysis or Modern portfolio theory. The key improvement that Black-Litterman model provides is that it addresses the views of the portfolio manager about the portfolio providing an additional qualitative input that adjusts the expected returns. The contribution to expected return of each of the portfolio asset about which a view is expressed is balanced against its contribution to overall portfolio risk.

  Language:Python97

• LCAV/sketchrls

  Sketch RLS is an adaptive filtering algorithm that brings sketching ideas into the classical recursive least squares algorithm. This is the python implementation of the algorithm.

  Language:Python9513

• prakhardogra921/Bank-Marketing-Classification

  Bank Marketing Classification using scikit-learn library to train and validate classification models like Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, Neural Network and Support Vector Machine. Also conducted comparative study on the above models when applied on different feature sets obtained via feature selection (Chi-Square Test), feature transformation (Principal Component Analysis) and feature elimination.

  Language:Jupyter Notebook9303

• dellani-rahmawati/AnalisisSentimen-PemindahanIbuKotaNegara

  Membandingkan tingkat akurasi dari prediksi sentimen berita menggunakan model naive bayes, KNN, dan SVM

  Language:Jupyter Notebook8

• fadlidony/Sistem-Prediksi-Harga-Minyak-Dunia-menggunakan-Fuzzy-Time-Series

  The World Oil Price Prediction System uses Fuzzy Time Series with Chen and Lee methods

  Language:CSS8101

• id-bioinfo/GWTCLR

  Geographically weighted temporally correlated logistic regression

  Language:Mathematica7303

• azhry/sentimen-c4.5-pso

  Optimasi Algoritma C4.5 pada Analisis Sentimen Menggunakan Particle Swarm Optimization

  Language:Python5202

• FilipWozniak/CART

  Classification And Regression Trees (CART) algorithm is a classification algorithm for building a decision tree based on Gini's impurity index as splitting criterion.

  Language:Jupyter Notebook5102

• junmoan/house-price-predicton-RFE-OLS

  House Price Prediction using Recursive Feature Elimination (RFE) and Ordinary Least Squares (OLS) Linear Regression

  Language:Jupyter Notebook5102

• Richieid23/analisis-sentiment

  Project Tugas Akhir Skripsi

  Language:PHP50

• csaybar/gee_gwlr

  Geographically Weighted Logistic Regression in Google Earth Engine

  Language:R4203

• eliavw/mercs-v5

  Multi-directional Ensembles of Classification and Regression treeS

  Language:Jupyter Notebook4205

• HabibNaeimi/Fuzzy-RecursiveLeastSquares

  Fuzzy systems control course project - Petroleum University of Technology

  Language:MATLAB4100

• najmudinr/Fuzzy-Time-Series-Chen

  Language:Python3

• Pramadita/Analisis-Sentimen-Bansos-Random-Forest

  Analisis Sentimen Bantuan Sosial COVID-19,

  Language:Jupyter Notebook3202

• cindyadamayanti/Fuzzy-Time-Series-Chen-dan-Cheng

  Language:R2

• saichandrareddy1/BaggingClassifierKnnPython

  Language:Python2100

• yusufdputra/Fuzzy-Time-Series-Cheng-Hotspot-Riau

  Language:JavaScript2

• elisawarner/Geographically_Weighted_Regression_MRI

  Use R to apply Geographically Weighted Regression (GWR) to MRI files. Also some code to analyze the residuals with 1) geometric PCA + a logit model or 2) straight to logistic regression

  1100

• Felia-Rhafida/peramalannFTS-cheng

  Language:Python1