Machine Learning Mastery: From Data to Advanced Classifiers
https://DevCourseWeb.com
Published 2/2024
Created by Abdurrahman TEKIN
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 2h 52m ) | Size: 2.52 GB
Mastering Machine Learning: From Data Import to Model Evaluation with Advanced Classifiers
What you'll learn:
Importing and preparing data for analysis.
Cleaning and preprocessing techniques for data integrity.
Effective data visualization methods.
Understanding and utilizing correlation heatmaps.
Preprocessing steps for feature scaling and handling categorical variables.
Proper data splitting for training and testing.
Implementation of machine learning models: Support Vector Classifier (SVC), RandomForestClassifier, XGBClassifier, KNeighborsClassifier, LGBMClassifier
Evaluation using Receiver Operator Characteristic (ROC) curve.
Requirements:
Basic understanding of programming concepts and Python programming language.
Familiarity with data manipulation using libraries such as Pandas and NumPy.