razamehar/Predicting-Bank-Customer-Churn

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

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AHG-BSCS/Wiremap

A webpage application that can detect motion using Wi-Fi signal. This application provides basic tools for data collection, model generation and model application.

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KrishArul26/Air-Quality-Index-prediction_with_deployment

India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.

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cglamb/Modeling

Modeling Portfolio (Python based)

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TATU-hacker/Harmony-Enhanced-Extra-Trees

Optimizing Smart Home Intrusion Detection with Harmony-Enhanced Extra Trees

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Azie88/Machine-Learning-Classification-Review

How to do a simple end-to-end machine learning classification project using the telco churn dataset

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damaniayesh/Python_Machine-Learning

It contains different types of machine learning models like Linear Regression, Logistic Regression, Clustering techniques, Time Series Forecasting etc

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damaniayesh/Breast_Cancer

The project provides information about breast cancer to help doctors predict if a person has it.

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brmorg-to/Supervised_learning_Pima_Indian

Ensemble Learning with Pima_Indian dataset

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damaniayesh/Credit-Card-Approval-Prediction

The project provides the credit card approval predictor using different machine learning algorithm , just like the real banks do.

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shinoiwami/a_JYU2017_07

Language: Python - Size: 83 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Shipra-09/Project-Vehicle-Insurance

This Github repository contains cross selling of health insurance customers on vehicle insurance product. We have to predict whether a customer would be interested in Vehicle Insurance or not by building a ML model. Exploring Insights/Inferences by performing EDA on the given project data. Finding the high accuracy

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xinguanca/MLproject_creditcardfraud

My first machine learning project.

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emirhanai/NASA-Project-Plastic-Marine-Debris-Classification-Machine-Learning-Software

NASA Project; Plastic Marine Debris Classification-Machine Learning Software

Language: Python - Size: 6.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 4

emirhanai/Machine-Learning-Software-Predicting-Germany-s-Economic-Development-from-2015-to-2019

Machine Learning Software Predicting Germany's Economic Development from 2015 to 2019

Language: Python - Size: 644 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

emirhanai/Machine-Learning-Prediction-Software-Based-on-Classification-and-Regression-Based-on-Processor-CPU

Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications

Language: Python - Size: 322 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

emirhanai/AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin

I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.

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vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

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Kunal-Attri/Iris-Species-Classification

Iris Species Classification usin various ML models.

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davidocmartins/Machine_Learning_Project

Applied various algorithm models to solve a binary classification problem of predicting if a patient will suffer from a disease. Project done for Machine Learning class of Data Science Ms

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AhmedAbdAlkreem/Hotel-Reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

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Arinjay11020/Capstone-Speech-Sentiment-Analysis

A model build on RAVDESS dataset, for speech emotion recognition. 85.59% validation accuracy

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snatch59/cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Language: Python - Size: 122 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 31

anandanraju/Eligibility_Validation_Report_Model_for_Borrowing_Money_From_Bank

In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.

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cereniyim/Tree-Classification-ML-Model

Multi-label classification of various tree types

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anandanraju/Analysis_On_Loan_Prediction

Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.

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pjn51/modeling-wildfire-risk

Predicting wildfire risk using classification and regression tools. My final project as part of the Metis data science bootcamp.

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Huy0720/Hate-Speech-Classification

Hate Speech Classification using ML Models

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theritwikkundu/Parallel-Fashion-MNIST

This project creates a web application which predicts fashion items uploaded as image using a parallelized machine learning model trained on the Fashion-MNIST dataset and also analyzes the performance of different parallelized classifier models.

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hanaecarrie/CS5228_kaggle_income50K_classification

CS5228 Kaggle Inclass Competition: Predicting if Income > 50K

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aps19/Telecom-Delinquency-Model

A delinquency model which can predict in terms of a probability for each loan transaction, whether the customer will be paying back the loaned amount within 5 days of insurance of loan.

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JuzerShakir/Forest_Cover-Type

Classifying Forest Cover type

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Akhilreddy97/IST-5520-MLProj-EmissionScore

IST 5520 Data Science and Machine Learning in Python Project, where we developed a predictive model to predict the vehicle emission score or Smog rating as defined by the Environmental Protection Agency(EPA).

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shawnhan108/nature-notebook

A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

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BE-PROJECTS2018/GroupNo1-Vehicular-Traffic-Abatement

Machine Learning and Data Mining based project to make a predictive model for real time vehicular traffic

Language: Python - Size: 14 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 3

prabhatk579/machine-learning-algorithms-archive

Implementation of different types of machine learning algorithm and there performance comparison on a same dataset

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subhayuroy/Income_Prediction

A 💲high-income economy 💶is defined by the💸 World Bank as a country with a gross💵 national income per capita of US$12,536💰 or more in 2019, calculated💷 using the Atlas method.While the term "high-income" is often used interchangeably with "First World"💴 and "developed country", the technical definitions of these terms differ💹

Language: Python - Size: 26.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

yesdeepakmittal/delinquencymodel

Delinquency Model to predict the loan repayment using Machine Learning. Visit https://yesdeepakmittal.github.io/delinquencymodel/

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pddang/Adults-Income

Predict whether income exceeds $50K/yr based on census data

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bademiya21/Supervised-Classification-of-Text-Categories

This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.

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aimananees/Major-Project

[ONGOING] Final year Major Project

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Ayush9719/Quora-Question-Pair

A Comparative analysis of machine learning models on Quora Question Pair dataset

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dibya-pati/Zillow-Challenge-Kaggle

Kaggle competition (zillow housing challenge)for predicting housing price log errors.Used feature selection, feature engineering, ensemble and stacked models

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