MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 15 lectures (1 hour, 42 mins) | Size: 680 MB
Master Machine Learning with Real Datasets and Simple examples

What you'll learn

How each machine learning algorithms works
How to implement machine learning models in Python
How to clean the data

Requirements

Basics of Python

Description

Machine Learning is one of the leading technology nowadays. In the year 2019, it is estimated that the machine learning industry grew by 400%. It is also found that every year, around 2.7 million jobs will be created by ML. In this course, you will learn all the machine learning models such as Regression, Classification and Clustering. All algorithms are explained with simple example. To implement the machine learning models, Python will be used in this course. The coding is explained step by step so that you can understand how to develop your own models. Each machine learning model in this course has the following

1. Theory - explained with simple examples

2. Python code - Full and clean documented code available for download

3. Interview questions - Helps to clear the machine learning interview.

Who this course is for:

Anyone who wants to learn machine learning

Screenshots



Download link:
Kod:
rapidgator_net:
https://rapidgator.net/file/906ff6d93689b12631ca1651f1d43e8e/g0zsi.Learn.Machine.Learning.from.Scratch.in.Python.part1.rar.html
https://rapidgator.net/file/fea85d18d0be8fdc29729666badc2dd6/g0zsi.Learn.Machine.Learning.from.Scratch.in.Python.part2.rar.html

nitroflare_com:
https://nitroflare.com/view/6380E2C99345167/g0zsi.Learn.Machine.Learning.from.Scratch.in.Python.part1.rar
https://nitroflare.com/view/DDD60B0DCBD598C/g0zsi.Learn.Machine.Learning.from.Scratch.in.Python.part2.rar
Links are Interchangeable - No Password - Single Extraction