** PySpark Certification Training: https://www.edureka.co/pyspark-certification-training **
This Edureka tutorial will provide you with a detailed and comprehensive knowledge of PySpark MLlib. Learn about the different types of Machine Learning techniques and the use of MLlib to solve real-life problems in the Industry using Apache Spark. This tutorial covers the following topics:
1. What is Machine Learning
2. Machine Learning in the Industry
3. Types of Machine Learning
4. Pyspark MLlib in Spark Environment
5. Demo 1: Finding Hackers with PySpark MLlib
6. Demo 2: Customer Churn Prediction using MLlib
2. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
Today’s Training Topics
❖ What is Machine Learning?
❖ Machine Learning in the Industry
❖ Machine Learning Life Cycle
❖ Types of Machine Learning
❖ Demo
3. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
What is Machine Learning?
“Machine learning is a method of Data analysis that automates analytical model building.
Learn from Data
Find Hidden Insights
Train and Grow
4. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
Machine Learning in the Industry
Marketing & Sales TransportationGovernment
5. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
Machine Learning in the Industry
HealthCare BiometricsFinance
6. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
model
Machine Learning Lifecycle
Training
70-80% of
Data
Testing
30-20% of
Data
Training Data Learning Algorithm
Test Data Accuracy
7. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
▪ Supervised
▪ Reinforcement
▪ Unsupervised
Types of Machine Learning
8. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
Supervised Learning
It’s a
Face
Label
Face
Label
Non-Face
9. PYSPARK CERTIFICATION TRAINING https://www.edureka.co/pyspark-certification-training
Supervised Learning Algorithms
Supervised
Learning
Classification REGRESSION
Logic
Regression
Classification Trees
Support Vector
Machine
Random Forests
Artificial Neural
Networks
Linear
Regression
Decision Trees
Bayesian
Networks
Fuzzy Classification
Artificial Neural
Networks