Machine Learning with Java and Weka

Machine Learning and Statistical Learning with Java

3.80 (27 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Machine Learning with Java and Weka
669
students
2.5 hours
content
Dec 2018
last update
$29.99
regular price

What you will learn

Create a data product using Weka and Java

Description

Why learn Data Analysis and Data Science?


According to SAS, the five reasons are


1. Gain problem solving skills

The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.


2. High demand

Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.


3. Analytics is everywhere

Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It's a hugely exciting time to start a career in analytics.


4. It's only becoming more important

With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.


5. A range of related skills

The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths.  Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.


The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.


This is the bite-size course to learn Java Programming for Machine Learning and Statistical Learning with the Weka library. In CRISP-DM data mining process, machine learning is at the modeling and evaluation stage. 

You will need to know some Java programming, and you can learn Java programming from my "Create Your Calculator: Learn Java Programming Basics Fast" course.  You will learn Java Programming for machine learning and you will be able to train your own prediction models with Naive Bayes, decision tree, knn, neural network, and linear regression, and evaluate your models very soon after learning the course.


Content

  1. Introduction

  2. Getting Started

  3. Getting Started 2

  4. Getting Started 3

  5. Data Mining Process

  6. Data set

  7. Split Training and Testing dataset

  8. Create Java Application using Netbeans with Weka Jar

  9. Simple Linear Regression

  10. Linear Regression using Weka and Java

  11. Linear Regression using Weka and Java 2

  12. Linear Regression using Weka and Java 3

  13. KMeans Clustering

  14. KMeans Clustering in Weka and Java

  15. Agglomeration Clustering

  16. Agglomeration Clustering in Weka and Java

  17. Decision Tree ID3 Algorithm

  18. Decision Tree in Weka and Java

  19. KNN Classification

  20. KNN in Weka and Java

  21. Naive Bayes Classification

  22. Naive Bayes in Weka and Java

  23. Neural Network Classification

  24. Neural Network in Weka and Java

  25. What Algorithm to Use?

  26. Model Evaluation

  27. Model Evaluation in Weka and Java

  28. Create a Data Mining Software

  29. Create a Data Mining Software 2

Content

Introduction

Introduction
Getting Started
Getting Started 2
Getting Started 3
Data Mining Process
Dataset
Split Training and Testing Dataset
Create Java Applications in Netbeans with Weka
Simple Linear Regression
LInear Regression using Weka and Java
LInear Regression using Weka and Java 2
LInear Regression using Weka and Java 3
KMeans Clustering
KMeans Clustering using Weka and Java
Agglomeration CLustering
Agglomeration CLustering in Weka and Java
Decision Tree Algorithm: ID3
Decision Tree Algorithm: ID3 using Weka and Java
KNN Classification
KNN Classification using Weka and Java
Naive Bayes ALgorithm
Naive Bayes ALgorithm using Weka and Java
Neural Network
Neural Network in Weka and Java
What Algorithm to use?
Model Evaluation
Model Evaluation using Weka and Java
Create a Data Mining Software
Create a Data Mining Software 2

Reviews

Matthew
April 12, 2020
It was a good course for beginners. You will definitely have to do some further study to understand how everything goes together, but its definitely a good place to start.
Vamsi
July 12, 2019
Its good explanation with the code .very easy to understand. But it could be good if you can add a bit more deep coding samples and real time project samples. Over all got the concept Sir.
Prithwiman
February 2, 2019
Everything's good, but the accent of the instructor makes it a bit difficult to follow, but the instructor has good knowledge about the subject, so that kind of makes it up.

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2086484
udemy ID
12/14/2018
course created date
11/21/2019
course indexed date
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