Topic: decission-tree Goto Github
Some thing interesting about decission-tree
Some thing interesting about decission-tree
decission-tree,It takes date and time to forcast weather information condition. A simple predection project of machine learning with Python. It is trained by a dataset taken from kaggle.
User: abdullah-mobin
Home Page: https://colab.research.google.com/drive/1zRYwsP5c50VZR44qBDVpnaDmMfKgG2gb?usp=drive_link
decission-tree,Advanced projects made for the Data Mining course at the AGH UST in 2024
User: bjam24
decission-tree,Machine Learning practice, Linear Regression, Multi-Linear Regression, Polynomial, Support Vector, Decission Tree, Random Forest.
User: calltech
decission-tree,ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΄Π°Π½Π½ΡΡ ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ Ρ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠΈΠΌ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ΠΌ accuracy Π΄Π»Ρ Π·Π°Π΄Π°ΡΠΈ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠΈΡ ΠΏΠΎΠ΄Ρ ΠΎΠ΄ΡΡΠΈΠΉ ΡΠ°ΡΠΈΡ.
User: ejay34
decission-tree,ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΄Π°Π½Π½ΡΡ ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»Ρ Ρ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠΈΠΌ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ΠΌ F1 Π΄Π»Ρ Π·Π°Π΄Π°ΡΠΈ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π±ΡΠ΄Π΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ², ΡΠΊΠ»ΠΎΠ½Π½ΡΡ ΠΊ ΠΎΡΡΠΎΠΊΡ.
User: ejay34
decission-tree,ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π΄Π°Π½Π½ΡΡ ΠΎ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΎΡΠ°Π·Π²Π΅Π΄ΠΊΠ΅ ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π° Π·Π°ΠΏΠ°ΡΠΎΠ² Π½Π΅ΡΡΡΠ½ΡΡ ΡΠΊΠ²Π°ΠΆΠΈΠ½ Π΄Π»Ρ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ², Π²ΡΠ±ΡΠ°ΡΡ ΡΠ΅Π³ΠΈΠΎΠ½ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ Ρ ΠΏΡΠΈΠ΅ΠΌΠ»Π΅ΠΌΡΠΌ ΠΏΠΎΡΠΎΠ³ΠΎΠΌ ΡΠΈΡΠΊΠ° Π±Π΅Π·ΡΠ±ΡΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ ΡΠ΅ΡΡΡΡΠ°ΠΌΠΈ.
User: ejay34
decission-tree,ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΡΡΡ Π΄Π°Π½Π½ΡΡ Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ Π΄ΠΎΠ±ΡΡΠΈ ΠΈ ΠΎΡΠΈΡΡΠΊΠΈ Π·ΠΎΠ»ΠΎΡΠΎΠ½ΠΎΡΠ½ΠΎΠΉ ΡΡΠ΄Ρ ΠΏΠΎΡΡΡΠΎΠΈΡΡ ΠΏΡΠΎΡΠΎΡΠΈΠΏ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π΄Π»Ρ ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·Π°Π½ΠΈΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ Π·ΠΎΠ»ΠΎΡΠ° ΠΈΠ· Π·ΠΎΠ»ΠΎΡΠΎΠ½ΠΎΡΠ½ΠΎΠΉ ΡΡΠ΄Ρ Ρ Π»ΡΡΡΠ΅ΠΉ ΠΌΠ΅ΡΡΠΈΠΊΠΎΠΉ sMAPE.
User: ejay34
decission-tree,This repository contains an in-depth exploratory data analysis (EDA) and training of various machine learning models on the famous Titanic dataset. The models tested include Logistic Regression, Support Vector Machine (SVM), and Decision Tree. Additionally, pipelines for the Decision Tree and Logistic Regression models have been created and saved.
User: ich-asadullah
decission-tree,
User: rifat392000
decission-tree,π¨βπ»π¨βπ» Large amount of customer data has been clustered and establishing predictive model by decision Tree.
User: sumankolkata
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