Topic: "randomforest"
SebastianRokholt/Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 13
roclark/clarktech-ncaab-predictor
A machine learning project to predict NCAA Men's Basketball outcomes
Language: Python - Size: 6.87 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 8
SahilChachra/Medical-Cost-Prediction
Predict your Medical insurance cost!
Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 28
njtierney/broomstick
:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:
Language: R - Size: 88.9 KB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 1
benjilu/forestError
A Unified Framework for Random Forest Prediction Error Estimation
Language: R - Size: 1.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 4
30lm32/ml-spam-sms-classification
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
Language: Jupyter Notebook - Size: 375 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 20
brandmaier/semtree
Recursive Partitioning for Structural Equation Models
Language: R - Size: 30.3 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 12
rohitinu6/NeoLung
Lung Cancer Prediction using Machine Learning Algorithms
Language: Jupyter Notebook - Size: 446 KB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 13 - Forks: 4
erdogant/treeplot
Plot tree based machine learning models
Language: Python - Size: 31.5 MB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 12 - Forks: 2
dhondta/malicious-macro-tester 📦
CLI tool for testing Office documents with macros using MaliciousMacroBot
Language: Python - Size: 97.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2
emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1
AIVenture0/PubG-Win-prediction-using-ML
PUBG- PlayerUnknown's BattleGrounds (PUBG)
Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 3
imharshag/Fake-news-Detection-using-ML
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Language: Python - Size: 12.4 MB - Last synced at: 2 days ago - Pushed at: 9 months ago - Stars: 8 - Forks: 0
insilico/privateEC
An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests
Language: R - Size: 21.6 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 4
Frid0l1n/Random-Forest
Stock Price Prediction using Random Forest
Language: Python - Size: 132 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 3
YadavAkash96/Detect_Phishing_Website
Detecting phishing website using machine learning
Language: Python - Size: 1.34 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5
sreevathsagolla/SARS-Coronavirus-Bioactivity-Prediction
This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).
Language: Jupyter Notebook - Size: 50.8 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 3
Singh-Prince-Rinku/Random_Forest
Random Forest algorithm
Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
Thilagavijayan/Syndrome_Prediction
Syndrome Prediction Helps to predict the disease through analysing group of symptoms
Language: Python - Size: 91.8 KB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1
jessramosdata/Loan-Approval-Prediction-Random-Forest-Web-App
Web App and Random Forest - Loan Approval Prediction
Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2
Ashishkumar-hub/Car-Price-Prediction
This a complete end to end machine learning project for prediction price of used cars
Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0
NASA-DEVELOP/WET2.0
The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).
Size: 111 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2
Sarah-2510/Customer-Lifetime-Value-Prediction
Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.
Size: 3.06 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1
LaurentVeyssier/Model-to-predict-Energy-consumption-City-of-Seattle
Use Seattle's public energy data and build a model predicting energy consumption
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2
yang1young/PythonMLFramework
A framework of python to do general machie learning using sk-learn, numpy, matplotlib and pandas
Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 0
Vidhi1290/Lung-Cancer-Detection-App
🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩⚕️🌟 #AIHealthcare #LungCancerDetection
Language: Python - Size: 72.1 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
Namratha2301/IntrusionDetection
Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset
Language: Jupyter Notebook - Size: 964 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
ChaoEcohydroRS/FlorenceFlood_UAVSAR_Repo
Code release for "Flood Extent Mapping During Hurricane Florence With Repeat-Pass L-Band UAVSAR Images"
Language: Python - Size: 2.41 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2
30lm32/ml-random-forest-pyspark
Random Forest Binary Classification is applying on sample data in PySpark on Jupyter Notebook
Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3
shashank31mar/Product-Classification
Classification of various products into different categories is a very important task. Doing this classification, one can get various types of insights about the specific product. This also helps in doing product matching when you try and search a product on a eCommerce site.
Language: Python - Size: 64.6 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 3
anonyXmous/Predict_Vessel_ETA
First capstone project on predicting expected arrival time of a container vessel from Shanghai to Ningbo, China using Automatic Identification System (AIS) data sent by ships.
Language: R - Size: 3.46 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1
usaeva-a/PET-projects
Language: Jupyter Notebook - Size: 45.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
pradeish29/cloud-burst-predict-streamlit
cloud burst prediction website rendered using streamlit from a pretrained ml model
Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: 30 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
addievo/phishingDetection
This repository contains a Flask application for detecting phishing URLs using machine learning. It includes preprocessing, feature extraction, model training, and model deployment in a web application.
Language: Python - Size: 4.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1
codevibess/parallel-stacking-classifier
Stacking Classifier with parallel computing architecture based on Message Passing Interface.
Language: Python - Size: 132 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
thenomaniqbal/boston-housing-price-prediction
This project is about predicting house price of Boston city using supervised machine learning algorithms. In this we used three models Multiple Linear Regression, Decision Tree and Random Forest and finally choose the best one. Furthermore, we briefly introduced Regression, the data set, analyzed and visualized the dataset.
Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
BorealisAI/ProbForest
Differentiable relaxations of tree-based models.
Language: Python - Size: 114 KB - Last synced at: 12 days ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
taniabatista/ml-fraud-transaction-random-forest
Card-Not-Present Fraud Project: in an imbalanced dataset containing 200,000 financial transactions, I was asked with identifying 400 rows of fraud. This Random Forest model successfully caught about 75% true positives, with only 0.00025% false positives.
Language: Jupyter Notebook - Size: 16 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
aberHRML/forestControl
Approximate False Positive Rate Control in Selection Frequencies for Random Forest
Language: R - Size: 1.01 MB - Last synced at: 20 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
hrugved06/ML-Algos
Machine Learning Algorithms
Language: Jupyter Notebook - Size: 8.13 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
doguma/IronDiamondtoChallenger
League of Legends Game Data Analysis (Random Forest, KNN, SVM, XGB / Kaggle game data 2017)
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
nataberishvili/nataberishvili.github.io
Size: 255 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
chandlergibbons/Machine-Learning-Medical-Transcription-Project Fork of AliceSartori/NLP_AND_Clinical-Notes
For our final project, our group chose to use a dataset (from Kaggle) that contained medical transcriptions and the respective medical specialties (4998 datapoints). We chose to implement multiple supervised classification machine learning models - after heavily working on the corpora - to see if we were able to correctly classify the medical specialty based on the transcription text.
Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
dleedev365/Two-Sigma-Connect-Rental-Listing-Inquiries
[CMPT 459 Special Topics in Database Systems: Data Mining] A data mining/machine learning project aimed to recommend features to renters to attract more people to their listings on RentHop website. Use SVM, RandomForest, Logistic-Regression, KNN, Decision Tree, and Naive Bayes.
Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
Vishwesh4/Real-time-prediction
Using spark streaming, predicts the violation location in real time for New York parking tickets dataset
Language: Python - Size: 1.55 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
liadber/androsec-rl
Efficient Android Malware detection using Random - Protype of BA's final project (Efficient Android Malware Detection using RL) - Amit Moshe (@Amit223) & Inbar Roth (@inbaroth) & Liad Bercovich (@liadber)
Language: Python - Size: 93.3 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
TIAGOOOLIVEIRA/ECG-Heart-Disease-Detection-Using-RandomForest-and-Multi-Layer-Perceptron
Language: Jupyter Notebook - Size: 7.11 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0
kristpapadopoulos/house-price-predictions
Tensorflow Lattice Regression for predicting house prices
Language: Jupyter Notebook - Size: 6.22 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 3
urvishp80/Predicting-House-Prices-With-Regression
Simple regression problem where by pre-loaded data I have shown different regression algorithm and their performance on data.
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0
Rajat-dhyani/charity_donors
In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.
Language: HTML - Size: 693 KB - Last synced at: 12 months ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 3
girishp92/Supervised-learning-with-heterogenous-data-using-Random-Forest-algorithm
This was a group project where we are comparing the effectiveness of supervised learning using various multivariate data sets and i was involved doing so using Random Forest Model. I implemented the feature importance of various predictor variables and how it effects the error rate(RMSE). I used the Student Performance Dataset to show the importance of various predictor variables. I implemented it in Python using various libraries like Numpy, Scipy, Scikit-learn, pandas, matplotlib and seaborn packages for plotting the figures.
Language: Python - Size: 1.3 MB - Last synced at: about 2 months ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1
vinayakvivek/Facial-Expression-Recognition
Machine learning project for CS 403
Language: Jupyter Notebook - Size: 95.1 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 0
EdwinChristopher/sentiment-topic-mining
This project focuses on text mining of Apple product reviews from Twitter, including text preprocessing, sentiment classification using deep learning, and topic analysis. The sentiment model categorizes tweets into positive, negative, or neutral, and topic analysis is performed to identify key themes within each sentiment group.
Language: Jupyter Notebook - Size: 5.78 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0
MonzerDev/Fake-News-Detection
A robust fake news detection system leveraging machine learning models (SVM and Random Forest) to identify political misinformation. Includes preprocessing, training, and evaluation scripts with datasets available for download.
Language: Jupyter Notebook - Size: 284 KB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
hasanfadhlillah/Spotify-Music-Recommendation-System
Music recommendation system that leverages the power of machine learning to provide personalized music suggestions based on user preferences. Using a hybrid approach combining K-Means Clustering and Cosine Similarity.
Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: 21 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
JessicaaaJe/CardioRenal-Disease-Prediction-using-classification-
This project uses classification techniques (KNN, Random Forest) to predict the presence of heart and kidney diseases. (dataset included)
Language: Jupyter Notebook - Size: 6.55 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
huseyincenik/machine_learning
Language: Jupyter Notebook - Size: 47.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
aneeshpatne/ML-for-Weather-Prediction
Harnessing machine learning to start predicting weather with greater accuracy.
Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
shihabmuhtasim/Machinearning-Model-Weather-Prediction-Rain-Snow-
This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.
Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
BamboTims/Bulldozer-Price-Regression-ML-Model
A Regression model that predicts the price of bulldozers based on their features.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
BamboTims/Heart-Disease-Classifier-ML
A Classification Machine Learning Model to detect if patients have heart disease.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
shadowfax42/mushroom-edibility-prediction
This project uses supervised learning to find key mushroom features that enable distinguishing between edible and poisonous mushrooms
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
sneharaoganta/Gender-Recognition-By-Audio-Data
Gender Classification using different algorithms for classification i.e K Nearest Neighbor, Naive Bayes, Decision Tree, Random Forest, XgBoost, Support Vector Machine and Neural Network i.e. MLP classifier to generate results.
Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
acummings2020/Gender-and-Racial-Bias-in-Sentiment-Analysis-Systems-
Personal portion of project, see "Presentation" file for overview of project
Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
francescopatane96/Bioactivity-prediction-with-ML
Create a bioactivity prediction model using molecular descriptors (PADEL) and supervised machine learning (ML).
Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1
AhmedHatemS/EMNIST-EnglishLetters-OCR-DT-RF
EMNIST English letters OCR machine learning model using Random Forests (RF) and Decision Trees (DT) algorrithms.
Language: Jupyter Notebook - Size: 644 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1
AlessandroDiLauro/Machine-Learning-with-Tree-Based-Models-in-Python
Decision trees are supervised learning models used for problems involving classification and regression.
Language: Jupyter Notebook - Size: 485 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
yi-ye-zhi-qiu/liam.gg
League of Legends ranked game logistic regression Flask Web App to give player feedback via SHAP plots
Language: Python - Size: 36.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
HimaRaniMathews/twitter-sentiment-analysis Fork of gunjapandey/twitter-sentiment-analysis
Data Analytics Project on Twitter Sentiment Analysis. Have used Logistic Regression, Random Forest, and XGBoost Models on Bag-of-Words, TF-IDF, and Word2Vec features
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
tayebiarasteh/Unsupervised_PatternAnalysis
Density Estimation, HMM Signature Verification, K-Means and Gap Statistics, Random Forests
Language: Python - Size: 11.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
albamalagon/FinalDegreeProject
Language: Python - Size: 18.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
juraj67/ClassificationAlgorithms
Implementation of several classification algorithms in Java. In addition to algorithms, it was necessary to implement tools for reading data, validation and evaluation metrices.
Language: Java - Size: 527 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1
bholeneha/Credit_Risk_Analysis
Credit card credit dataset analyzed using multiple machine learning models to determine which model best fits the data, reduces bias and predicts credit risk. Undersampling and oversampling done using various python libraries (imbalanced-learn and scikit-learn).
Language: Jupyter Notebook - Size: 156 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
Foram224/Solar_generation
Predict solar generation data
Size: 758 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
iambankaratharva/BitcoinHeist
Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.
Language: Jupyter Notebook - Size: 8.77 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
ThinamXx/BlueBook_for_Bulldozers
Here, In this repository, I have solved one of the problems of Kaggle Competition, " Blue Book for Bulldozers"
Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
ifenglin/Evolutionary-Random-Forest Fork of imbs-hl/ranger
Evolutionary Random Forest: a genetic algorithm enhanced random forest learning model
Language: C++ - Size: 28.3 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
samantha-bothwell/DATAS_Gateway
RMarkdown file showing an example of using the Random Forest algorithm to examine Weather Data
Language: Jupyter Notebook - Size: 5.66 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
TanyaTandon/Hotel-Reviews
Language: HTML - Size: 20.1 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
angcbi/mnist
Language: Python - Size: 11 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
sid83/BankLoadData_MLmodel
Random forest classifier model applied to a bank loan data to predict loan defaulters.
Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1
MyungsuChae/real-time-load-separation 📦
Real-time appliance level load separation from total power usage.
Language: R - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1
HozaifAwan/aerocastai
AI-powered tornado forecasting system that trains itself with live weather data every 3 days.
Language: Python - Size: 12.7 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
alunera-data/animal-shelter-ml
edX Capstone Project: ML-based prediction of shelter animal outcomes using R and Random Forest
Language: HTML - Size: 1.08 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
Mutsinz1/Churn_Prediction_Project
This project focuses on predicting customer churn using machine learning algorithms. By analyzing historical customer data, the model aims to identify patterns that indicate a customer is likely to stop using a service, enabling businesses to take proactive measures to retain valuable customers.
Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
Shantanu-Meta/Light-pollution
Light pollution analyzer - forecasting, clustering, find key factor influencing light pollution, outliers state in datasheet all with python and Google earth engine.
Language: Python - Size: 3.95 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
arya-io/IPL-Run-Chase-Prediction
This model predicts the winning probabilities for both teams during the second innings of an IPL match.
Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
MateuszGraja/Binary-Prediction-Rainfall
Binary Prediction with a Rainfall Dataset
Language: Jupyter Notebook - Size: 71.3 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
laura-projects-work/price-prediction
Price prediction.
Language: R - Size: 7.9 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
Singhananddev/Health-insurance-cross-sell-prediction
Health-insurance-cross-sell-prediction
Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
arsftri/Implementasi-Artificial-Intelligence
Implementasi Decision Tree, Random Forest, SVM, KNN, dan Naive Bayes untuk Diagnosis Diabetes berdasarkan Demografi dan Pola Hidup Asia 2024
Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
NickLitwinow/Kaggle-Titanic
This project tackles the Kaggle Titanic challenge. The objective is to build a predictive model to determine which passengers survived the Titanic disaster based on various features such as passenger class, age, gender, and other attributes. The project covers data cleaning, preprocessing, exploratory data analysis, and model building.
Language: Jupyter Notebook - Size: 468 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
mariarodr1136/FraudDetectionSystem
FraudWatch is a machine learning-based credit card fraud detection system that uses a Random Forest classifier. It visualizes model performance with an interactive confusion matrix heatmap. The system is deployed as a user-friendly Flask web application. 📊
Language: HTML - Size: 2.6 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
themihirmathur/Machine-Failure-Predictor
The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.
Language: HTML - Size: 155 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
tasneem-badar/Market-Trend-Analysis-and-Price-Prediction-on-Used-Cars
Market Trend Analysis and Price Prediction on Used Cars - A machine learning project for analyzing market trends and predicting car prices.
Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Beena-Kurian/loblaws-data-analysis
The Loblaw Data Analysis project is an initiative aimed at extracting valuable insights from large datasets collected by Loblaw Companies Limited, one of Canada's largest food and pharmacy retailers. Leveraging advanced data analysis techniques and machine learning algorithms, this project seeks to uncover trends, patterns, and correlations within
Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
UgurCan222/A-Different-Approach--Image-Enhancement-with-Imputation-and-Regression-Methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
Language: Python - Size: 1.8 MB - Last synced at: 19 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
catherman/FIRE-2023
An urban fire risk prediction model using machine learning. Visualization of findings with map and table in interactive Streamlit app.
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mohammad95labbaf/Churn-Prediction
This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.
Language: Python - Size: 373 KB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
jazaoo13/WeatherPrediction
This project focuses on predicting the weather for the next day using a classification model. Both RandomForest and GradientBoosting classifiers were tested with grid search for hyperparameter tuning. The dataset used for this project is available at Kaggle.
Language: Jupyter Notebook - Size: 121 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
