train-test-split | Topic | Ecosyste.ms: Repos

Topic: "train-test-split"

graph-part/graph-part

GraphPart, a data partitioning method for ML on biological sequences

Language: Jupyter Notebook - Size: 46.3 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 5

ODAncona/bboxconverter

This library allows reading and converting bounding box annotations in many popular formats

Language: Python - Size: 38.8 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 1

bharatadk/python_splitter

📁 Repo for python_splitter Python package. This package can split Images into Train, Test, Validation folders automatically by shuffling media/images for machine learning.

Language: Python - Size: 79.1 KB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 4

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

vaitybharati/P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-

Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model

Language: Jupyter Notebook - Size: 141 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

CamilaJaviera91/Sales-Prediction-Using-PostgreSQL

This project is designed to extract sales data from a PostgreSQL database, process it, and use a Random Forest model to predict sales quantities. It also visualizes real and predicted sales for better understanding.

Language: Python - Size: 28.3 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

CamilaJaviera91/bagging-with-kaggle

Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).

Language: Python - Size: 523 KB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

QuantumMonkey/LP-Diabetes-Prediction 📦

Learning Project ML - Diabetes Prediction

Language: Jupyter Notebook - Size: 6.84 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

jagadeeshpj/Predicting-The-Energy-Output-Of-Wind-Turbine-Based-On-Weather-Condition

Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU

Language: HTML - Size: 28.8 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

Best-Brain-Gang/roboadvisor-diversification

This creates an AWS Chatbot to give users their investment portfolio based on their risk tolerance level i.e. conservative, moderate, or aggressive. With the use of machine learning, the tool will be created to different portfolios based off that.

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

camelbyte/stock-prediction

US stock market analysis and machine learning with Python

Language: Jupyter Notebook - Size: 322 KB - Last synced at: 2 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

michaelscutari/protclust

protclust is a Python library for protein sequence analysis that integrates MMseqs2 for fast clustering and provides tools for creating robust machine learning datasets. It offers cluster-aware data splitting to prevent sequence similarity bias in model evaluation, along with comprehensive protein embedding capabilities for feature generation.

Language: Python - Size: 354 KB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

CamilaJaviera91/Prediction-of-Housing-Prices-Using-Linear-Regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

Language: Python - Size: 397 KB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

aarryasutar/Linear_Multivariate_Regression_on_Football_Statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

aditijoshi613/Image-Classification

Classification model to categorize clothing items into distinct classes

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

rishabh1882/Insurance-Prediction-Model

A GitHub repository hosting an insurance prediction model employing Decision Tree, Random Forest, and KNN algorithms, with KNN achieving the highest accuracy score of 87.7% and tested for response on unseen data.

Language: Jupyter Notebook - Size: 8.69 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

NeonOstrich/Credit-Risk-Classification-using-Logistic-Regression

Trained and evaluated two supervised machine learning models using original and resampled data to identify 'healthy loan' and 'high risk loan' applicants from financial disclosures.

Language: Jupyter Notebook - Size: 932 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

emilelampe/maestros

Multi-label stratified splits, while preserving group independence. Includes a stratification chart and report.

Language: Python - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

elifftosunn/Bert-Bank-Model

It is a Turkish BERT-based model that will analyze people's bank complaints and classify them according to one of eight categories.

Language: Jupyter Notebook - Size: 5.23 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Thakursiddhesh/Regression-Model-to-Predict-Cement-Compressive-Strength

Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.

Language: Jupyter Notebook - Size: 604 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

MehmetOKUYAR/Train_Test_Split_txt

You can separate the images in your file as a train test txt file in the yolo format.

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

MoinDalvs/Model_Validation_Techniques

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

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Algorithms

Machine Learning with Scikit Learn

Language: Jupyter Notebook - Size: 5.48 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jesussantana/SkLearn-Train-Test

Scientific programming through the SKLearn / Scikitlearn library

Language: Jupyter Notebook - Size: 42 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

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

Eben2020-hp/Train-Test-Split-using-R

Understanding Train-Test-Split in R

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

vaitybharati/Model-Validation-Methods

Model-Validation-Methods

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

maksymsur/spltr 📦

`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.

Language: Python - Size: 99.6 KB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

AdicherlaVenkataSai/coursera

Coursera Speccialization Courses

Language: Jupyter Notebook - Size: 40.7 MB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

bhattbhavesh91/random_state_train_test_split

A simple example of random state in train test split using python

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

venkat-0706/Titanic-Survival-Prediction

A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Francis-Calingo/Fake-News-Classification-Model-Kaggle

Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: 20 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

giriYT26/House-Price-Predictor-Using-Train-Test-Split-

House Price Predictor 🏡 "A machine learning model that predicts house prices based on square footage, number of bedrooms, and bathrooms using Linear Regression. The project includes data preprocessing, model evaluation, and visualization of actual vs. predicted prices."

Language: Python - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MindlessMuse666/train-test-splitter

Анализ данных о пассажирах Титаника и разбиение на обучающую и тестовую выборки. Практическое задание по дисциплине "Основы применения методов искусственного интеллекта в программировании".

Language: Python - Size: 836 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Yashrajgithub/Crop-Recommendation

KrishiGyaan is a web app designed to help farmers make informed decisions on crop selection. By analyzing soil and environmental factors, the app provides personalized crop recommendations, enhancing agricultural productivity and promoting sustainable farming practices.

Language: Jupyter Notebook - Size: 5.25 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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".

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

djdhairya/Fish-Species-Detection-and-Recognition

Dataset

Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

spoortimorabad/Startup-Performance-Analysis

The primary purpose is to ensure that the startup is on the right path to achieving its goals.

Language: Jupyter Notebook - Size: 271 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

djdhairya/Solar-Panel-Fault-Detection

Language: Jupyter Notebook - Size: 269 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

lgessl/patroklos

An R package pipelining binary classification of survival

Language: R - Size: 5.87 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

harmanveer-2546/Predicting-Schizophrenia-Disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

Language: Jupyter Notebook - Size: 3.61 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

vikhyatnegi/Linear-Regression-

This assignment is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

harmanveer-2546/Prediction-Of-Ticket-Cancellation

The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.

Language: Jupyter Notebook - Size: 8.75 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

vineet416/EDA-Travel

EDA Travel data by PW Skills Data Analytics Course.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

jmarihawkins/neural-network-challenge-2

The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

muhammad3245571106/Student-Grade-Prediction

This is the Data Mining Porject for predicting the grade of student before the final examination and before the Mid 2 examination. I use Python and Jupyter Notebook for this Project.

Language: Jupyter Notebook - Size: 730 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

GusLovesMath/O3_AQI_Emission_ML

Analyzing O3 Air Quality Index trends (2000-2023) in the U.S., this project identifies regions with rising pollution. Utilizing exploratory data analysis and time-series modeling, it offers actionable insights for informed policy decisions on urgent O3 pollution issues.

Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

jmarihawkins/neural-network-challenge-1

The purpose of this project is to predict student loan repayment success using a neural network. Neural networks are computational models inspired by the human brain's structure and function, consisting of layers of interconnected nodes or "neurons" that can learn to recognize patterns in data.

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

hacknicole/Tennis-Ace-Using-Linear-Regression

Using the Linear Regression Model to find out which gives the best model for acing the tennis players in the world.

Language: Jupyter Notebook - Size: 448 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

jmarihawkins/classification-challenge

The purpose of this project is to develop and compare two machine learning models to detect spam emails. Spam detection is a crucial task in email filtering systems to protect users from unwanted and potentially harmful emails. The project involves using a dataset containing various features extracted from email content.

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AloRay/CREDIT-RISK-PREDICTION

Model selection crucial in loan approval prediction project. Random Forest outperformed Logistic Regression, emphasizing importance of choosing appropriate models for accurate predictions.

Language: Jupyter Notebook - Size: 955 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

NikosBakalis/Adversarial-attack-on-Intel-and-MobileODT-Cervical-Cancer-Screening

Machine Learning project on Classification before and after poisoning skin cancer images with Adversarial Attacks

Language: Jupyter Notebook - Size: 166 KB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

muhammad3245571106/IBM-Data-Science-Project-on-SpaceX-Dataset

This is the project capstone of IBM Data Science Certified Professional certification. I analyze SpaceX data in it, get actionable insights from it, build a machine learning model on data, and check which model is best for the dataset. I've also used folium to draw points of launches on map and find their distance from nearest places like station.

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Gopika-S-Nair/Machine-Learning---Classification

This repository contains Machine Learning Classification algorithms implementation

Language: Jupyter Notebook - Size: 456 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

alaa-aleryani/Deep_Learning_Challenge

Language: Jupyter Notebook - Size: 8.89 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SatyaA26/Lasso-and-Inductive-Conformal-Prediction-Algorithm

Lasso and Inductive Conformal Prediction Algorithm

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sindydanny/Prediction-with-Multiple-Regression

Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sindydanny/Prediction-with-Regression

The project aims to provide valuable insights for fair compensation strategies and improved logistical planning.

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shipra-09/ML-Project-Random-Forest

This Github repository contains projects related to prediction with Random Forest Classifier. Exploring Insights/Inferences by performing EDA on the given project data (Company Sales).

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shipra-09/ML-Project-Decision-Tree

This Github repository contains projects related to prediction with Decision Tree. Exploring Insights/Inferences by performing EDA on the given project data (Iphone purchase).

Language: Jupyter Notebook - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shipra-09/ML-Project-Logistic-Regression

This Github repository contains projects related to Logistic regression. Exploring Insights/Inferences by performing EDA on the given project data (Bank Term deposit).

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Yaresh01/Finance-and-Risk-Analytics-project

Language: Jupyter Notebook - Size: 9.42 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

selimunal/pytorch_dataloader

I load my data using these data loaders

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pierogio/SkLearn_Train_Test

rain and Test Splitting for Housing Data.

Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

EmamulHossen/Fake_News_Detection

Fake News Detection** is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jaezak/credit_risk_sklearn

Develop a model that can assess and predict loan risk using supervised machine learning.

Language: Jupyter Notebook - Size: 521 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Abir0810/Drug_Addiction_prediction_using_machine_learning

We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

atwyburde/Bangalore-House-Price-Prediction

Bangalore House Price Prediction using KNN

Language: Jupyter Notebook - Size: 513 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

atwyburde/Multiple-Linear-Regression-Toyota-Corolla-

Prediction model for price prediction.

Language: Jupyter Notebook - Size: 620 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

atwyburde/Multiple-Linear-Regression-50-startups

Prediction model for profit of 50 startups dataset.

Language: Jupyter Notebook - Size: 405 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

atwyburde/Simple-Linear-Regression-Salary-Hike

Prediction model for Salary Hike

Language: Jupyter Notebook - Size: 259 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

atwyburde/Simple-Linear-Regression-Delivery-Time

Prediction model for Delivery Time

Language: Jupyter Notebook - Size: 271 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

EmamulHossen/Feature-Transformation-Assignment-6.3-

Feature transformation is a technique in machine learning that is used to modify the original features of a dataset in order to improve the performance of machine learning algorithms.

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

maaghia/EMG-Signals-Classification-for-Neuromuscular-Diseases-Detection-Using-Deep-Learning

Welcome to our repository dedicated to the code used in our study on classifying neuromuscular diseases through deep learning techniques applied to Electromyography (EMG) signals. Our research focuses on developing deep neural networks that can differentiate between healthy individuals and those with neuromuscular disorders.

Language: Jupyter Notebook - Size: 427 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

karthickr7/Iris-Project

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ericlsimon/supervised-ml-challenge

Eric-Simon-Supervised-ML-Challenge

Language: Jupyter Notebook - Size: 893 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alexmaf90/Machine-Learning-with-Python-

Series of tutorials from Resolving Python on how to compute different algorithms for predicting the future based on tabular data.

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

tmard/Deep_Learning_Challenge

Non-profit foundation funding predictor using deep learning and neural networks.

Language: Jupyter Notebook - Size: 894 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

francaisse/DMWL-CW2

Voting Ensemble & Stock Prediction - Project Submission for Data Mining & Machine Learning Module

Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nmathias0121/ml-model-algorithms

import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.

Language: Python - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Abir0810/apple_trees_plant_dieases_prediction_using_Sequential_model_and_cnn

Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shayleaschreurs/Deep_Neural_Networks

Module 13 - I am creating a binary classification model using a deep neural network by preprocessing data for a neural network model , using the model-fit-predict pattern to compile and evaluate a binary classification model , and optimize the model.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Billie-LS/give_me_cred

peer-to-peer lending, use techniques to train and evaluate Machine Learning models with imbalanced classes to identify the worthy

Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

twigikit/regression-modelling

Logistic regression model with train_test_split data

Language: Jupyter Notebook - Size: 643 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AWrzos/Study_Regression

different types of regression

Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

shayleaschreurs/Supervised_Learning_Regression_Model

Module 12 - Using the imblearn , I'll use a logistic regression model to compare 2 versions of a dataset. First, I’ll use the original data. Next, I’ll resample the data by using RandomOverSampler. In both cases, I’ll get the count of the target classes, train a logistic regression classifier, calculate the balanced accuracy score, generate a con

Language: Jupyter Notebook - Size: 914 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0