Topic: "boosting-tree"
cerlymarco/linear-tree
A python library to build Model Trees with Linear Models at the leaves.
Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 355 - Forks: 54

rosetta-ai/rosetta_recsys2019
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Language: Python - Size: 161 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 58 - Forks: 16

adelekuzmiakova/CS229-machine-learning-solar-energy-predictions
Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.
Language: Python - Size: 922 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 48 - Forks: 12

yubin-park/bonsai-dt
Programmable Decision Tree Framework
Language: Python - Size: 3.81 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 34 - Forks: 6

kongzii/SwiftXGBoost
Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.
Language: Swift - Size: 5.29 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 1

NaoMatch/FortLearner
Machine Learning Algorithms in Fortran
Language: Fortran - Size: 13.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 23 - Forks: 2

xiaodaigh/JLBoostMLJ.jl 📦
MLJ.jl interface for JLBoost.jl
Language: Julia - Size: 51.8 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 0

karthik-d/FungiCLEF-2022-using-Network-Ensembles
Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022
Language: Python - Size: 15.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 2

prs98/Telecom_Churn_Analysis
This project focuses on segmenting customers based on their tenure, creating "cohorts", allowing us to examine differences between customer cohort segments and determine the best tree based ML model.
Language: Jupyter Notebook - Size: 7.57 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

karthik-d/SnakeCLEF-2022-using-Network-Ensembles
Scripts, figures and working notes for the participation in SnakeCLEF-2022, part of the 13th CLEF Conference, 2022
Language: Python - Size: 11.9 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 2

GINK03/bing-ranking-inspector
Microsoft Bingのランキングの重みを自然言語的に解釈、表現します
Language: Python - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

newking9088/building_insurance_predictive_modeling
A comprehensive case study on implementing predictive modeling in insurance
Size: 713 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 1

jodhie/building_insurance_predictive_modeling
A comprehensive case study on implementing predictive modeling in insurance
Size: 173 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Szymon-Czuszek/Machine-Learning-Algorithms
In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.
Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

svsaurav95/Zepto-analysis-
Zepto Order Analysis to Predict Unique Orders from a range of Products
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DanielaRosero/Gradient-Boosting-Classifier-for-Wine-Classification
Use of Weights & Biases to systematically tune and evaluate the hyperparameters of a Gradient Boosting Classifier. The dataset we are working with is the Wine dataset.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

unnatibshah/LASSO-and-Boosting-for-Regression
LASSO and Boosting for Regression on Communities and Crime data
Language: Jupyter Notebook - Size: 8.82 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sheny2/Cloud_Detection
classfication of cloud image pixels
Language: R - Size: 1.05 GB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

JQmiracle/HR_Analytics
Job Change of Data Scientists Prediction
Size: 6.31 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

gt0410/Unredactor
In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redacted folder. These redacted files are used for testing and different classification models are built to predict the probabilies of each class. Top 5 classes i.e names similar to the test features are written at the end of text in unreddacted foleder.
Language: Python - Size: 8.71 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

srikanth2102/IPL_SCORE_PREDICTION
This project focuses on predicting the IPL scores using Machine learning models with the use of Python using Scikit Learn Library. The model predicts the score after a minimum of 5 overs. The score on Testing data was 94.17%.
Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

shreyash2610/-A-Fine-Windy-Day-HackerEarth
Problem Moving from traditional energy plans powered by fossils fuels to unlimited renewable energy subscriptions allows for instant access to clean energy without heavy investment in infrastructure like solar panels, for example. One clean energy source that has been gaining popularity around the world is wind turbines. Turbines are massive structures that are strategically placed in perpetually windy places to generate the most energy. Wind energy is generated when the power of the atmosphere’s airflow is harnessed to create electricity. Wind turbines do this by capturing the kinetic energy of the wind. Factors such as temperature, wind direction, turbine status, weather, blade length, etc. influence the amount of power generated.
Language: Jupyter Notebook - Size: 7.08 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

rupalshrivastava/Supervised-Machine-Learning
Implemented support vector machines, boosting, and decision trees for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

AshwilNambiar/Datascience
Datascience hands on code
Language: Jupyter Notebook - Size: 3.79 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

jdebran/KC_Practica_Machine-Learning-101
KeepCoding Bootcamp Big Data & Machine Learning - Práctica Machine Learning 101
Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Amoko/Classification-based-on-Hierarchy-Rule-Tree
gene classification based on partial-order rule mining
Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
