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Tutorial de aprendizaje automático con Python
Things to be included :
---------------------Basics-----------------------------------
Python Ecosystem
Methods
Data Loading for ML Projects
ML - Understanding Data with Statistics
ML - Understanding Data with Visualization
Preparing Data
Data Feature Selection
--------ML Algorithms - Classification-----------------------
Introduction
Logistic Regression
Support Vector Machine(SVM)
Decision Tree
Random Forest
---------------ML Algorithms - Regression-------------------------
Overview
Linear Regression
-----------ML Algorithms - Clustering------------------------------
Overview
K-Means Algorithm
Mean Shift Algorithm
Hierarchical Clustering
-------------ML Algorithms - KNN Algorithm---------------------------
Finding Nearest Neighbors
Performance Metrics
Automatic Workflows
Improving Performance of ML Models
Improving Performance of ML Model(Contd..)
Last updated on 06/01/2020
Minor bug fixes and improvements. Install or update to the newest version to check it out!
Requisitos
4.2 and up
Categoría
Reportar
Machine Learning with Python Tutorial
1.0 by Ella Preck
06/01/2020