Tutorials :

Udemy - Machine Learning for Software Engineers

      Author: Baturi   |   14 July 2021   |   comments: 0



Udemy - Machine Learning for Software Engineers
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 5.96 GB | Duration: 11h 30m
A Practical Approach


What you'll learn
Theory and practicals of Regression
Theory and practicals of Classification
Theory and practicals of Clustering
Exploratory Data Analysis techniques
Description
This course has been put together by a team of experienced teaching professionals and industry experts in machine learning.
We aim to offer software engineers and those with some coding experience an introduction to the main concepts of machine learning.
We take a very practical approach, mixing theory videos and practical videos, with all code and jupyter notebooks used throughout the course being available for download. We begin with Regression, then Exploratory Data Analysis, before moving on to Classification and Clustering.
Not only will you learn how to build models, you'll also learn the correct ways to evaluate your data, identify problems and validate the correctness of your models.
At the end of this course you will be able to:
Analyse a new set of data using Exploratory Data Analysis
Generate summary statistics and visualisations
Identify outliers and be able to handle missing data
Be able to use: jupyter, pandas, seaborn, matDescriptionlib, scipy, imblearn
Build Linear Regression models - Ordinary Least Squares
Build Non-Linear Regression models - SVM, Decision Trees, Random Forest
Build Classification models - K-Nearest Neighbour, Approximate KNN, Naive Bayes
Build Clustering models - K-means, Gaussian Mixture Models, Agglomerative Clustering, DBSCAN
Data resampling techniques, dummy classifiers & k-fold validation, Pipelines
Data encoding techniques - One-hot Encoding, Target Encoding, Binary Encoding
This course includes:
Over 11 hours of video content
17 downloadable resources
17 practical assignments in jupyter notebooks
Reference Materials & further reading
Who this course is for:
Coders who are looking to learn or brush up on some practical Machine Learning skills
Developers who are interested in Machine Learning
Developers who are interested in Data Science

Homepage
https://www.udemy.com/course/machine-learning-for-software-engineers/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


https://uploadgig.com/file/download/69582403B0eda7f9/z4j1p.Machine.Learning.for.Software.Engineers.part1.rar
https://uploadgig.com/file/download/1f37476aF23a4d21/z4j1p.Machine.Learning.for.Software.Engineers.part2.rar
https://uploadgig.com/file/download/1dEfab366195d9e2/z4j1p.Machine.Learning.for.Software.Engineers.part3.rar
https://uploadgig.com/file/download/8E97c6A1e902ff28/z4j1p.Machine.Learning.for.Software.Engineers.part4.rar
https://uploadgig.com/file/download/55b2AC9d3b218617/z4j1p.Machine.Learning.for.Software.Engineers.part5.rar
https://uploadgig.com/file/download/75bB9e0eaFBb6e46/z4j1p.Machine.Learning.for.Software.Engineers.part6.rar
https://uploadgig.com/file/download/fEc4Ff08a5746c31/z4j1p.Machine.Learning.for.Software.Engineers.part7.rar

https://rapidgator.net/file/be87d38bbc4f97ee68784e30b5afbdbb/z4j1p.Machine.Learning.for.Software.Engineers.part1.rar.html
https://rapidgator.net/file/29eacf1e8e56d6cc1aa87eacf3484094/z4j1p.Machine.Learning.for.Software.Engineers.part2.rar.html
https://rapidgator.net/file/16ce292f1138d666a901d15c9ad18cff/z4j1p.Machine.Learning.for.Software.Engineers.part3.rar.html
https://rapidgator.net/file/863f0a59fa8b20af420cb2e11a0ceb02/z4j1p.Machine.Learning.for.Software.Engineers.part4.rar.html
https://rapidgator.net/file/17e96d78578ea59708bccea559d5bbbe/z4j1p.Machine.Learning.for.Software.Engineers.part5.rar.html
https://rapidgator.net/file/c9b681e9fa25d997484543280dd9d6fd/z4j1p.Machine.Learning.for.Software.Engineers.part6.rar.html
https://rapidgator.net/file/3fd1c9430dec9e34f3d5d4153f741bea/z4j1p.Machine.Learning.for.Software.Engineers.part7.rar.html

http://nitro.download/view/A1AF2D7F0F4D368/z4j1p.Machine.Learning.for.Software.Engineers.part1.rar
http://nitro.download/view/47AAE66475788DE/z4j1p.Machine.Learning.for.Software.Engineers.part2.rar
http://nitro.download/view/85E753BDA4D4863/z4j1p.Machine.Learning.for.Software.Engineers.part3.rar
http://nitro.download/view/6BC57D71C7E2B21/z4j1p.Machine.Learning.for.Software.Engineers.part4.rar
http://nitro.download/view/CE09FD0666AB23C/z4j1p.Machine.Learning.for.Software.Engineers.part5.rar
http://nitro.download/view/D635D3368FDA37E/z4j1p.Machine.Learning.for.Software.Engineers.part6.rar
http://nitro.download/view/11266A91DAD403E/z4j1p.Machine.Learning.for.Software.Engineers.part7.rar

Links are Interchangeable - No Password - Single Extraction
Udemy - Machine Learning for Software Engineers Fast Download
Udemy - Machine Learning for Software Engineers Full Download

free Udemy - Machine Learning for Software Engineers, Downloads Udemy - Machine Learning for Software Engineers, Rapidgator Udemy - Machine Learning for Software Engineers, Nitroflare Udemy - Machine Learning for Software Engineers, Mediafire Udemy - Machine Learning for Software Engineers, Uploadgig Udemy - Machine Learning for Software Engineers, Mega Udemy - Machine Learning for Software Engineers, Torrent Download Udemy - Machine Learning for Software Engineers, HitFile Udemy - Machine Learning for Software Engineers , GoogleDrive Udemy - Machine Learning for Software Engineers,  Please feel free to post your Udemy - Machine Learning for Software Engineers Download, Tutorials, Ebook, Audio Books, Magazines, Software, Mp3, Free WSO Download , Free Courses Graphics , video, subtitle, sample, torrent, NFO, Crack, Patch,Rapidgator, mediafire,Mega, Serial, keygen, Watch online, requirements or whatever-related comments here.





DISCLAIMER
None of the files shown here are hosted or transmitted by this server. The links are provided solely by this site's users. The administrator of our site cannot be held responsible for what its users post, or any other actions of its users. You may not use this site to distribute or download any material when you do not have the legal rights to do so. It is your own responsibility to adhere to these terms.

Copyright © 2018 - 2023 Dl4All. All rights reserved.