June 10 2021

Introduction To Linear and Logistic Regression (Machine Learning)

Introduction To Linear and Logistic Regression (Machine Learning)
Duration: 1h 4m | Video: .MKV, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 519 MB
Genre: eLearning | Language: English

This class is all about the basic machine learning algorithm.


Basic Python knowledge is required.

There are lots of free materials to learn about python, so please do before going to this class.

Only Computer, browser and internet is required.

Skills you will learn in this class:

Importing and Splitting the data.

Building your first Machine learning model.

Compiling the model.

Evaluating the model's performance.

Training the model.

By the end of this class, you will have a solid knowledge about the fundamental knowledge of machine learning. You can use all these skills to build any other machine learning projects by using the structure in this class. All the codes will be explained carefully so you will have a deep understanding about all the steps in deep learning.




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