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122 search results found

Calorie Predictor ⭐ 6

Speakerclassifier ⭐ 6

A random forest classifier to predict the age-group and gender of a speaker from voice measurements.

Remote Sensing Resistance ⭐ 6

Does heterogeneity in forest structure make a forest resistant to wildfire? That is, does greater heterogeneity decrease wildfire severity when a fire inevitably occurs? A collaborative effort co-authored by: Michael J. Koontz, Malcolm P. North, Chhaya M. Werner, Stephen E. Fick, and Andrew M. Latimer

Healthytrees ⭐ 6

🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Facebook Metrics Prediction ⭐ 6

Analysis and Modeling of the UCI Facebook Metrics Dataset

Attack And Anomaly Detection In Iot Sensors In Iot Sites Using Machine Learning Approaches ⭐ 6

Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models ha

Reddit Flair Detector ⭐ 5

A Reddit Flair Detector using Machine Learning Algorithms

Kaggle Bike Sharing Demand ⭐ 5

simple solution based on Gradient Boost and Random Forest, rank 24/3251 (top 1%) within 60 lines of python code

Medical Mammogram Random Forest ⭐ 5

Bachelor Project

Side Projects For Fun ⭐ 5

Various topics with different sets of data.

Sar Python ⭐ 5

Search and Rescue with Airborne Optical Sectioning implemented in Python with OpenCv and PyTorch

Deep_nowcaster ⭐ 5

DFW IPW + precipitation prediction algorithm

Project_floodlight ⭐ 5

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine le

Randomforests ⭐ 5

An application of random forests to the problem of predicting flight delays

Loan Default Prediction ⭐ 5

Loan Default Prediction Machine Learning Project

Machine Learning ⭐ 5

A comprehensive comparison of decision tree and random forest for cancer classification.

Foreststandheight ⭐ 5

SAR Handbook materials - Chapter 4

Forests Intro ⭐ 5

🌲🌳🌴 Trees and forests, machine-learning for the 99%. A 1hr introduction.

Hyppo Papers ⭐ 5

Td Rotman Finhub Tdmdal Hackathon ⭐ 5

Machine Learning Portfolio ⭐ 5

A collection of projects on various ML topics.

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