h1st-ai / h1st

Star

H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This problem has caused most industrial-AI projects to fail.

home-automation data-science time-series collaboration cybersecurity cold-start autonomous-vehicles automl avionics human-in-the-loop predictive-maintenance ensemble-machine-learning datascience-environment explainability industrial-iot trustworthy-datascience energy-optimization

Updated Aug 18, 2020
Python

sharmapratik88 / AIML-Projects

Star

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject

Updated Jun 24, 2020
Jupyter Notebook

ashishpatel26 / Most-used-ML-Packages

Star

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

tensorflow word-embeddings pandas pytorch ensemble-learning tensorflow-tutorials nlp-machine-learning pandas-tutorial pytorch-tutorial ensemble-machine-learning

Updated May 31, 2019
Jupyter Notebook

louisowen6 / SENN

Star

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

nlp sentiment-analysis neural-network cnn lstm mlp stock-market-prediction ensemble-machine-learning stocktwits

Updated Aug 7, 2020
Jupyter Notebook

alicex2020 / Deep-Learning-Lie-Detection

Star

Use machine learning models to detect lies based solely on acoustic speech information

machine-learning deep-learning ensemble-learning support-vector-machines mfcc ensemble-model pitch-tracking ensemble-classifier acoustic-features ensemble-machine-learning lie-detector mfcc-analysis

Updated Jul 27, 2019
Jupyter Notebook

davidmasse / US-supreme-court-prediction

Star

Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model

pipeline-framework feature-importance classification-model categorical-features ensemble-machine-learning curse-of-dimensionality-solution data-leakage

Updated Oct 14, 2018
Jupyter Notebook

kafisatz / DecisionTrees.jl

Star

Julia Decision Tree Algorithms for Regression

julia regression decision-trees boosting-algorithms julialang actuarial decisiontree ensemble-machine-learning decisiontrees

Updated Jun 23, 2020
Julia

akram-mohammed / ECemble

Star

Multi-class enzyme classification using machine learning

python machine-learning r enzyme webserver perl awk prediction weka command-line-tool cgi-script enzyme-classification ensemble-machine-learning

Updated Feb 19, 2019
Shell

HarryMills / GASEN

Star

Genetic Algorithm based Selective Neural Network Ensemble

python machine-learning genetic-algorithm nerual-network ensemble-machine-learning genetic-optimization-algorithm

Updated Apr 16, 2019
Python

omarmhaimdat / xgboost_student_performance

Star

Introduction to XGBoost with an Implementation in an iOS Application

python swift machine-learning ios-app ios-swift xgboost xgboost-algorithm decision-tree-regression coremltools ensemble-machine-learning xgboost-python

Updated May 30, 2020
Swift

AaronWard / PU-learning-example

Star

An example repo for how PU Bagging and TSA works.

machine-learning random-forest semi-supervised-learning ensemble labelling weakly-supervised-learning bagging ensemble-machine-learning positive-unlabeled-learning bagging-trees pulearning unreliable-labels

Updated Feb 21, 2020
Python

LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

Star

bootstrap random-forest exploratory-data-analysis feature-selection supervised-learning adaboost feature-engineering gradient-boosting supervised-machine-learning decisiontree bagging knn-regression support-vector-regression regression-algorithms kfold-cross-validation ensemble-machine-learning

Updated Oct 26, 2019
Jupyter Notebook

lovpatel93 / Kaggle-Spam

Star

Spam Detection – Cluster SMS messages to “Spam” and “Ham” (Kaggle Challenge)

natural-language-processing cross-validation bag-of-words tf-idf vectorization feature-engineering nlp-machine-learning evaluation-metrics nlp-keywords-extraction tokenization stemming lemmatization countvectorizer nltklib ensemble-classifier random-forest-classifier gridsearchcv ensemble-machine-learning tf-idf-vectorizer nltk-python

Updated Feb 21, 2019
Jupyter Notebook

abhidtu2014 / Image-splicing-detection-python

Star

Splicing detection | ML | Major project

machine-learning cross-validation image-processing pca-analysis image-classification sift-algorithm image-segmentation kpca-analysis binary-classification image-splicing-detection haralick-features ensemble-machine-learning splicing-detection zernike

Updated Mar 28, 2020
Python

MrKhan0747 / New-York-City-Taxi-Trips-Fare

Star

In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

machine-learning random-forest cross-validation prediction data-visualization data-preprocessing feature-engineering k-fold taxi-data random-forest-regressor nyc-taxi-dataset nyc-taxi ensemble-machine-learning nyc-taxi-fare

Updated Jun 13, 2019
Jupyter Notebook

mariomarroquim / ml-vxm

Star

An elegant virtual crossmatch tool based on machine learning

python3 immunoinformatics transplant ensemble-machine-learning pycaret

Updated Jul 1, 2020
HTML

alexandrebvd / udacity-capstone-project-credit-card-fraud-prediction

Star

Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling

machine-learning credit-card credit-card-fraud supervised-learning ensemble-model smote oversampling udacity-machine-learning-nanodegree sampling-methods ensemble-classifier undersampling ensemble-machine-learning

Updated Mar 7, 2019
HTML

Alven8816 / deeper

Star

An R package called "Deep Ensemble for Environmental Predictor"

package r ensemble-machine-learning

Updated Mar 20, 2020
R

abvnithish / Kaggle_HousingPricePrediction

Star

Competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

data-science machine-learning xgboost boosting-algorithms feature-engineering logarithm regularized-linear-regression rmse stacking bagging ames-housing ensemble-machine-learning advanced-regression-techniques

Updated Jan 17, 2019
Jupyter Notebook

Thom-J-H / Capstone2_Harvard_edX

Star

Testing 21 models (machine learning ensemble) on the WDBC data set

machine-learning r machine-learning-algorithms ensembles wdbc ensemble-machine-learning

Updated Nov 19, 2019
HTML

kpratikin / Credit-Card-Fraud

Star

Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).