박성원

스파크(Spark) 머신러닝의 핵심 Framework에 대한 이해,  난이도 높은 실전 문제를 통한 SQL 기반의 데이터 가공,  업무 도메인 분석을 통한 데이터 분석과 최적화된 머신러닝 모델 구현 능력까지, 대용량 데이터 기반에서 머신러닝 전문가로 인정 받고 싶다면 이 강의와 함께 하십시요.

권 철민

인프런 10주년! 사랑주간 전체 할인

스파크 머신러닝 완벽 가이드 - Part 1

한국에 이런 강의가?

압도적 분량

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

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입문

초급

중급이상

아파치 스파크

Apache Spark

Machine Learning(ML)

Big Data

Data Engineering

The Complete Guide to Spark Machine Learning - Part 1

Introduction to the course and setting up the practice environment.

Spark Overview

Understanding Spark DataFrame - 01

Understanding Spark DataFrame - 02

Spark SQL Overview

# Understanding Spark Machine Learning - 01

Understanding Spark Machine Learning - 02

Spark ML Classification - 01

# Spark ML - Classification - 02

Spark ML Regression

Understanding Data Analysis for Practical Machine Learning

Real-World Machine Learning - Kaggle Instacart Market Basket Analysis Competition Overview

Practical Machine Learning - SQL-Based EDA Analysis of Kaggle Instacart Data

Practical Machine Learning - Kaggle Instacart Feature Engineering, Model Training, Evaluation, and Tuning - 01

Practical Machine Learning - Kaggle Instacart Feature Engineering, Model Training, Evaluation, Tuning - 02