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Search results for jupyter notebook random forest
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136 search results found
Flight Delay Predict
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7
北京交通大学 小学期实训课设-航班延误预测系统
Artificial Intelligence Course Projects S2023
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7
AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)
Amazon_review_helpfulness_prediction
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7
this is my repository for Amazon review helpfulness prediction model
Income Prediction Machine Learning
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7
In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.
Predicting Paid Amount For Claims Data
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6
Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information System). The dataset contains Commercial Insurance claims, and a small fraction of Medicaid and Medicare payments for dually eligible people. The primary purpose of this assignment is to test machine learning (ML) skills in a real case analysis setting. You are expected to clean and process data and then apply various ML techniques like Linear and no linear models
Healthytrees
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6
🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016
Flowrest
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6
Flowrest: in-switch flow-level classification with random forests
Cic Ids 2018 Intrusion Detection Classification
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6
Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network intrusion detection classifier models.
Eco Fertilization
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6
Final year project based on Machine Learning
Speakerclassifier
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6
A random forest classifier to predict the age-group and gender of a speaker from voice measurements.
Hybrid Recommender System
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6
A repository for a machine learning project about creating a hybrid movie recommender system.
Prediciting Hits On Spotify
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6
Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning
Handwritten Expression Evaluation
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6
Contains code to build a system that can evaluate handwritten mathematical expressions using various machine learning models
Gender Voice Recognition_machine Learning
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6
Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)
Woodpecker
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6
A python library used for tree structure interpretation.
Onestep Electron Content
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6
Content for onestep-electron.github.io
Housing Rent Prediction
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6
End to End Machine Learning Project along with deployment.
Loan Default Prediction
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6
Capstone Project: Predicting default in P2P lending
Examples
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6
Examples for share.
Facebook Metrics Prediction
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6
Analysis and Modeling of the UCI Facebook Metrics Dataset
Bank Customer Churn Analysis
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6
Predict the customers who are likely to churn for an European bank using various models- KNN, logistic regression, decision tree and random forest
Deep_health
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5
Exploring dataset on medical information on diabetic patients
Machine_learning_basics
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5
This is repository about the MachineLaering Basics including all the Machine learning Algorithms
Kaggle Bike Sharing Demand
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5
simple solution based on Gradient Boost and Random Forest, rank 24/3251 (top 1%) within 60 lines of python code
Machine Learning In Python
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5
My learnings on different algorithms of Machine Learning with Python .
Drforest
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5
Dimension Reduction Forests
Krishi Mitra
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5
An Agro Tech application by IIITIANS for Solving for India Hackathon by Geeks for Geeks.
Feature Reduction Talk
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5
Notebook image and notebook for feature reduction talk
Mobile Phones Price Prediction
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5
A set of different models, that can be used to predict price range of a mobile phone.
Project_floodlight
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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
Stock Prediction Portfolio Optimization
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5
A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.
Predicting Harddrive Failures Using Ml
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5
Predicting Hard Drive failure using SMART Metrics
Machine Learning Practice
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5
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
Telecom Churn Prediction
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5
Telecom Churn Prediction using Machine Learning models
Mooncake
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5
This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.
Cancer Detection
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5
Team Capybara final project "Histopathologic Cancer Detection" for the Statistical Machine Learning course @ University of Trieste
Malware Analysis
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5
using Drebin dataset to distinguish between malwares and not malwares
Predict Price Car
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5
🚘 Predict price of car with Random Forest Regression
Bank Marketing
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5
A Data-Driven Approach to Predict the Success of Bank Telemarketing
Machine Learning
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5
A comprehensive comparison of decision tree and random forest for cancer classification.
Medicare Fraud Detection
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5
A machine learning based application to help detect fraud among Medicare practitioners.
Text Classification Ml
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5
Application of various text classification algorithms on multiple datasets.
Machine Learning Bootcamp
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5
A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.
Credit Card Fraud Detection Sampling Methods
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5
Credit card fraud detection: A comparison between a logistic regression model, random forest and DNN when using under and over sampling methods to determine which approach returns the best evaluation metrics.
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