Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 303 MB
Genre: eLearning Video | Duration: 5 lectures (30 mins) | Language: English
ML | Data Science | Feature Engineering
What you'll learn Homepage: https://www.udemy.com/course/weka30mins
You will learn basic concept of Machine learning, Data science, Feature Engineering. Also in this course you will know, how to use Weka for classification, clustering and visualization of your pre-processed data. In this video I will show hands on feature extraction from raw data using Python. Also show pre-processed model evaluation using Weka. Finally will show a solution to memory related issue at Weka.
Requirements
Basic concept of Machine Learning
Description
In 30 minutes I will show how to use Weka. What is feature engineering and how to generate feature set. How to load feature set in Weka. Which formats of feature set are supported by Weka. What classifiers available at weka and how to use them. How to install third party classifiers in Weka. How to visualize your pre-processed data.
Bonus: How to solve memory related issue in time of running Weka.
Who this course is for:
Beginner Python, Machine Learning & Data Science Students
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