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GitHub topics: kfold-cross-validation

semanurbilada/BIP_BAP

Biomedical Image Processing BAP (Scientific Research Project)

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aayushhn123/Movie_Recommendation_System_With-Dataset-Analysis-and-Regressions

Movie Recommendation System Project

Language: Jupyter Notebook - Size: 9.9 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

KasiMuthuveerappan/LoanTap-LogisticRegression

๐Ÿ“” This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 1

StarlangSoftware/Sampling-Cy

Data sampling library

Language: Python - Size: 51.8 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

imanirajian/Machine-Learning

Machine learning: Practical applications

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 5 - Forks: 5

StarlangSoftware/Sampling

Data sampling library

Language: Java - Size: 204 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Lakshay-a/Alzheimer-diagnosis-using-CNN

An advanced deep learning tool for Alzheimer's disease diagnosis using a CNN with transfer learning from DenseNet-121 pre-trained on RadImageNet, achieving a test accuracy of 95.13%. It features a user-friendly interface for uploading MRI scans and provides immediate classification into AD, MCI, or CN stages.

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cloud2010/dl-models

Collection of RNN GAN SNN CNN in Tensorflow

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StarlangSoftware/Sampling-CS

Data sampling library

Language: C# - Size: 55.7 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

berksudan/Credit-Approval-Tool

Classified and clustered bank clients with respect to their user profile and decided if they should get credit. KNN & KMeans algorithms, K-Fold developed in C without libraries.

Language: C - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

kheisyaarr/skripsi

Sintaks yang digunakan pada skripsi yang berjudul Pemodelan Kerugian pada Asuransi Kendaraan Bermotor Menggunakan Generalized Linear Models dan Generalized Additive Models.

Language: R - Size: 29.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

imeshaB/BreastCancerDeepLearningModel

Breast Cancer Image Classification Using Deep Learning and Explainable AI. This project focuses on binary classification of breast cancer images as malignant or benign using deep learning techniques, integrated with XAI. Addressing challenges like dataset generalizability and model transparency, the work follows the CRISP-DM framework.

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StarlangSoftware/Sampling-Js

Data Sampling Library

Language: TypeScript - Size: 32.2 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

StarlangSoftware/Sampling-CPP

Data sampling library

Language: C++ - Size: 188 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

StarlangSoftware/Sampling-Py

Data sampling library

Language: Python - Size: 75.2 KB - Last synced at: about 23 hours ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

wjones2810/Data_Science_Portfolio

This is my portfolio for data science, supervised and unsupervised machine learning.

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LorranSutter/PredictStock-SVM

ML model for stock trend prediction using Python

Language: Python - Size: 276 KB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 29 - Forks: 12

drkbluescience/WiDS2024_Challenge2_MetastaticDiagnosisRegression

This notebook presents an exploratory data analysis (EDA) and regression modeling approach for the WiDS Datathon 2024 Challenge #2.

Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

shahpranshu27/HandsOn_ML

This is GEM repo, as it has all the Hands-On ML notebooks

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pb319/California_House-Price-Prediction

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

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vtramo/neural-networks-experiments-from-scratch

The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.

Language: Python - Size: 12.2 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

MarwaBrian/football_matches

Linear Regression Project to predict the total goals to be scored in a match

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

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 10

TheMrityunjayPathak/MachineLearning

Machine Learning with Python

Language: Jupyter Notebook - Size: 709 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

shimazahabi/Rayan-AI-Course

RAYAN AI international competition training course : Homeworks and Projects

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melodiw82/Rayan_AI

Vault of variety of topics taught for Rayan Contest

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Elbig-exe/Machine-Learning-Project

Artificial intelligence model that detects intrusions in a network by analyzing TCP / IP packets by machine learning algorithms

Language: Python - Size: 1.01 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

RoxyDiya/BABY-SIGN-LANGUAGE-RECOGNITION

A Baby Sign Live Recognition Model

Language: Jupyter Notebook - Size: 244 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2

ozlemkorpe/Machine-Learning-with-MATLAB

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

Language: MATLAB - Size: 134 KB - Last synced at: 18 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

Darius2527/LifeExpectancy-Regression

This regression model involves predicting the average life expectancy of a country's population using the dataset given.

Language: Jupyter Notebook - Size: 563 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

farzeennimran/Fashion-MNIST-Dataset-Classification-using-Neural-Network

Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset ๐Ÿ‘—๐Ÿ‘š๐Ÿ‘–

Language: Jupyter Notebook - Size: 105 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Perceval-Wilhelm/Predicting-high-risk-of-death-patients-due-to-COVID-19-using-classification-algorithms

Predicting high risk of death patients due to COVID-19 using classification algorithms

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pratikwatwani/Breast-cancer-detection

Language: Jupyter Notebook - Size: 727 KB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

Costopoulos/Machine-Learning-Business-Analytics

Machine Learning App in R for predicting whether a newly released movie will be a hit or a flop. Practically useful for streaming services and cinemas.

Language: R - Size: 11.8 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

brainhack-school2020/abide-fmri

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

Language: Jupyter Notebook - Size: 42.5 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 13

Ashutosh27ind/crossValidationwithLinearRegression

This notebook demonstrates how to do cross-validation (CV) with linear regression as an example (it is heavily used in almost all modelling techniques such as decision trees, SVM etc.). We will mainly use sklearn to do cross-validation.

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ogunlao/foundations_of_ml

Machine Learning algorithms built from scratch for AMMI Machine Learning course

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sukhmani1303/flight-price-prediction

A Streamlit ML app for flight price prediction. This one project involves concepts like EDA, Linear, Lasso & Ridge Regression, Kfold, Hyper Parameter Tuning & GridSearchCV. I am constantly building a rich repository of all the information I have on a particular topic as part of my machine learning practice. Very Helpful for ML beginners.

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Ashutosh27ind/PGDDS-Capstone-Project

Credit Card Fraud Detection Project

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yu9824/kennard_stone

This is an algorithm for evenly partitioning.

Language: Python - Size: 4.4 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

attilalr/plot-roc-curve-cv

Utility function to plot roc curves using k-fold cross-validation

Language: Jupyter Notebook - Size: 875 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AryaKoureshi/EEG-Signal-Classification-using-CSP-Features

This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.

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prakHr/NeuralNetworksAndFuzzyLogic

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

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Alireza-Gharavi/CIFAR-10-Classification

Implementing an ANN using PyTorch (under 800,000 parameters) to achieve +92% accuracy in under 100 epochs.

Language: Jupyter Notebook - Size: 671 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

arasgungore/multiclass-classification-using-ensemble-learning

Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.

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mishika12/Predicting_Life_Expectancy-Regression

Analyzing and predicting life expectancy of a country based on multiple factors using multiple regression techniques

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bhaveshk22/Predicting-Comprehensive-Strength-of-Concrete

This repository contains a Machine Learning model that predicts the comprehensive strength of concrete

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Brandon-Martinez27/advanced-topics

This repo contains exercises for advanced topics like Cross Validation

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abhijeetaman007/DMPA-Project

Handwritten digit recognition using Convolution Neural Network(CNN).

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sadhave2511/Titanic_Kaggle

Employed hyper-parameter tuning (Gridsearch CV) and ensemble methods (Voting Classifier) to combine the results of the best models. Data Cleaning and Exploration using Pandas. Stratified Cross Validation to model and validate the training data

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kumar11jr/Machine_learning

Language: Jupyter Notebook - Size: 2.82 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

SitiAminatus/Prediction_Student-Performance-by-Kaggle

Predict math score using these features gender, race/ethnicity, parental level of education, lunch, test preparation course, reading score, writing score.

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ChaitanyaK77/California-House-Price-Prediction

Language: Jupyter Notebook - Size: 467 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zill879/Video-Game_Sales_Analysis

Applying a EDA and applying Machine Learning Algorithms to predict the Global Sales Rating for Video Games

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Ola76/bank_churn

Bank Customer Data for Customer Churn

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rohit-keswani/Human-Activity-Recognition-Using-Accelerometer-Data

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beatabb/Matrix_DW

na podstawie kursu "Matrix - poznaj reguล‚y gry", stworzonego przez DataWorkshop

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CiccioTecchio/SQM-MQS

This is a universitary project for the exam of software quality and metrics

Language: R - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

GunturWibawa/GoldPredictionZyfra

As a Data Scientist at Zyfra Company, I developed a predictive model to estimate gold extractable from ore. Using data on extraction and purification, I trained the model to enhance the efficiency of the production process.

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liliansteven/Breast-Cancer-Diagnosis-KFold-and-RF-with-96-accuracy

Welcome to my second DS project also my first notebook on kaggle. In this notebook, I explore the Breast Cancer dataset and develop an RF model to try classifying suspected cells as Benign or Malignant. after using K-fold cross-validation with logistic regression, RF, SVM, and KNN to check the best model for my dataset.

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pramodiperera/ML

Sample programs with basic machine learning concepts

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Priya-cse/Zindi-New-User-Engagement

New User Engagement

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efsiatras/breast-cancer-classification-evaluation

Breast cancer classification and evaluation of classifiers using k-fold Cross-Validation

Language: MATLAB - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

iamkirankumaryadav/Applied-Machine-Learning

Applied Machine Learning ( End to End ) Classification Models

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prernasingh05/CodeClause_Loan_prediction

The Loan Prediction project aims to determine whether a loan should be approved or rejected by considering various factors.

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Joshuaabeter/Restaurant_Quality_Assessment_Analysis_and_Prediction

Eateries quality assessment analysis and prediction with Sklearn. It involved analyzing eateries' quality assessment dataset and predicting the quality assessment result

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eogbemi/Bank_Churn

Bank Churn

Language: Jupyter Notebook - Size: 483 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

alicevillar/student_admission_prediction

Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest

Language: Jupyter Notebook - Size: 174 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

MahalavanyaSriram/Natural-Language-Processing-with-Disaster-Tweets

Kaggle Competition - Natural Language Processing with Disaster Tweets

Language: HTML - Size: 7.86 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 3

CharlesVitry/Classification-Article-Le-Monde

Classification of articles from the newspaper "Le Monde" on R

Language: RMarkdown - Size: 20.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

satishgunjal/House-Price-Prediction-Project

Contains all my data science projects.

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tanvirtin/mnist-ann

An Artificial Neural Network with weight decay created using python using the Numpy library which can read handwritten digits. Uses K-Folds cross validation for training the Neural Network.

Language: Python - Size: 11 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 1

grvnair/Bangalore_Housing_Prices

Developed a Machine Learning model to predict the house prices on Bangalore Housing Prices Dataset.

Language: Jupyter Notebook - Size: 295 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sourcecode369/ml-algorithms-on-scikit-and-keras

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

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rudrajit1729/Machine-Learning-Codes-And-Templates

Codes and templates for ML algorithms created, modified and optimized in Python and R.

Language: Python - Size: 21 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 3

kpsijil2/Cement-Manufacturing

Predicting cement strength

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ritikaradhakrishnan/SVMandLogisticRegression-MNIST

CIS 563 Introduction to Data Science's final Project : Support Vector Machines and Logistic Regression - Classification models are compared along with testing done on real time data.

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Usaid-Bin-Rehan/Classify_Song_Genre

DT Logistic KFold

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arukemre/Natural_Language-Processing-with-Pytorch-KFold-Optuna

Predicting which Tweets are about real disasters and which ones are not

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arukemre/Xgboost-ile-Enerji-tuketimi-Time-Series-Analizi

Time Series Analysis with Python towards Machine learning

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alicevillar/titanic-kaggle

Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%

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V0xP0p/GroupSplit

GroupSplit is a module to help split datasets into train and test sets for data science and machine learning projects.

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

ugurcanerdogan/KNN-Classification-Regression

BBM409 Machine Learning Laboratory - Assignment 1 : KNN Classification and KNN Regression using k-Fold cross validation (OOP design for classifiers)

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SooyeonWon/predicting_default_risk

Supervised Learning and Classification Models

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cedoula/Austin_Driver_Score_Predictor

Used Python Scikit-Learn to analyze Austin car crash data from 2018 to 2020 and created an interactive dashboard using a Random Forest Classifier algorithm to calculate a driver score from user features.

Language: Python - Size: 26.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 4

LiadzZ/Anime-Machine-Learning-Recommendation-System

Collaborative filtering, word Embedding dense vector representation - NeuralNetwork regression model and K-Fold Evaluation.

Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

NadimSalameh/Real-Estate-Price-Prediction-Website

Build a model using Linear Regression for Banglore Home Prices dataset, then write a python flask server that uses the saved model to serve http requests, then deploy the app to the Cloud(AWS EC2)

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ugurcanerdogan/Cross-Validation-with-Imbalanced-Dataset

BBM467*SDSP - Small Data Science Project - Things to consider in cross validation and resampling when dealing with Imbalanced Data : What is the right way?

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MoinDalvs/Model_Validation_Techniques

1. train_test_split 2.K_fold 3.LeaveoneOut 4.Cross Validation Score 5.Logistic Regression

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sudhan-bhattarai/Machine_Learning_01Classification_scikit-learn

Comparing Logistic regression, Support vector machine, Decision tree, Random forest and Gradient Boosting models for binary classification ML problem using scikit-learn.

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HenyerM/Predicting-House-Sell-Price

In this project we will work with housing data for the city of Ames, Iowa, United States from 2006 to 2010. You can read more about why the data was collected here (https://doi.org/10.1080/10691898.2011.11889627). You can also read about the different columns in the data here (https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889627).

Language: Jupyter Notebook - Size: 282 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

vesran/Human-Activity-Recognition

An activity recognizer using a neural network implemented from scratch

Language: Java - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

rrfsantos/Projeto-Redes-Neurais-OCT-Images

BI Master - Automated methods to detect and classify human diseases from medical images. Convolutional Neural Network, Data Augmentation, Transfer Learning, Tensorflow, Keras, Xception, ImageNet, StratifiedKFold.

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h4harsimran/Price_prediction

My submission to Housing price prediction competition on kaggle using XGBoost, Custom encoding, Kfold validation, Feature importance

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hectoramirez/StockMarketPrices

Prediction of stock market time series

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saadhaxxan/Optimizing-Hyperparameters-Using-Grid-Search

Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning

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kuntala-c/Loan-Status-Prediction

Based on the EDA of customer information available, the loan eligibility has to be predicted.

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mrzaizai2k/COVID-19-Cough-Classification-phase-1-

This project was made for classifying Covid and non-covid patients through cough sound. This is a non-invasive, inexpensive, and easy method so we can use that as the first filter

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HeitorGabriel/reamostragem

Treino de reamostragem para validaรงรฃo no Tidymodels. k-Fold, Monte Carlo e Bootstrap.

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GyaneshSamanta/Would-you-survive-on-the-Titanic

A model to predict survival rate on the Titanic

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kfold-cross-validation 131 machine-learning 47 python 33 logistic-regression 29 random-forest 25 cross-validation 20 linear-regression 18 pandas 18 numpy 17 decision-trees 17 sklearn 14 gridsearchcv 12 classification 12 scikit-learn 12 hyperparameter-tuning 11 data-science 11 knn 9 matplotlib 9 bootstrap 9 python3 9 svm 8 seaborn 8 svm-classifier 8 kmeans-clustering 8 stratified-sampling 8 deep-learning 8 regression 7 jupyter-notebook 7 decision-tree 7 naive-bayes-classifier 6 neural-network 6 feature-engineering 6 natural-language-processing 6 naive-bayes 6 pipeline 6 lasso-regression 6 machine-learning-algorithms 6 feature-selection 5 data-visualization 5 xgboost 5 train-test-split 5 ridge-regression 5 prediction 5 matlab 5 classification-algorithm 5 regression-models 5 kaggle-competition 4 dimensionality-reduction 4 support-vector-machine 4 exploratory-data-analysis 4 knn-classifier 4 keras-tensorflow 4 outlier-detection 4 data-analysis 4 dataset 4 confusion-matrix 4 knn-classification 4 neural-networks 4 r 4 gradient-boosting 4 flask 3 artificial-intelligence 3 multilayer-perceptron-network 3 convolutional-neural-networks 3 knn-algorithm 3 knn-regression 3 support-vector-regression 3 pca 3 leave-one-out-cross-validation 3 decision-tree-classifier 3 svm-model 3 hyperparameter-optimization 3 clustering 3 random-forest-classifier 3 random-forest-regression 3 keras 3 binary-classification 3 supervised-learning 3 tensorflow 3 feature-importance 3 cnn 3 smote 3 pickle 3 bagging 2 reinforcement-learning 2 javascript 2 hierarchical-clustering 2 data-cleaning 2 model-selection 2 elbow-method 2 eda 2 html-css 2 performance-measurements 2 machine-learning-projects 2 ensemble-machine-learning 2 visualization 2 regression-algorithms 2 datascience 2 transfer-learning 2 trainer 2