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**BaDshaH** · 08-17-2023, 01:31 PM

[Image: db6e7dccb96969d350f89efa4faac839.jpg]

Published 8/2023
Created by Harish Masand
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lectures ( 46h 0m ) | Size: 21.7 GB

Machine Learning In-Depth (With Python)

[b]What you'll learn[/b]
Machine Learning In-depth,
Covers Supervised Learning (Regression and Classification)
Covers Unsupervised Learning (Dimensionality Reduction and Clustering)
This is pre requisite for Deep Learning, Reinforcement Learning, NLP, and other AI courses
Completing this course will also make you ready for most interview questions for Machine Learning

[b]Requirements[/b]
Data Analysis In-Depth Course by myself on udemy

[b]Description[/b]
Machine Learning In-Depth (With Python)1. What will students learn in your course?Machine Learning In-depth, Covers Introduction, Supervised Learning including regression and classification, Unsupervised Learning including dimensionality reduction and clustering.Very few courses covers basics and algorithm in detail, and here you will find clear and simple explanation and practical implementationCompleting this course will also make you ready for most interview questions for Data Science /Machine Learning Role related to Supervised Learning including regression and classification, Unsupervised Learning including dimensionality reduction and clustering.This is Pre-requisite for Deep Learning, Reinforcement Learning, NLP, and other AI courses2. What are the requirements or prerequisites for taking your course?Good to do my "Data Analysis In-Depth (With Python)" course on Udemy3. Who is this course for?People looking to advance their career in Data Science and Machine Learning rolesAlready working in Data Science/ ML Ops Engineering roles and want to clear the conceptsWant to make base strong before moving to Deep Learning, Reinforcement Learning, NLP, LLM, Generative AI and other AI coursesCurrently working as Full Stack developer and want to transition to Machine Learning Engineer roles4. Is this course in depth and will make industry ready?Absolutely yes, it will make you ready to creack Machine Learning Interviews and solve ML problems. This will also lay strong foundation for Deep Learning, Reinforcement Learning, etc5. I am new to IT/Data Science, Will i understand?Absolutely yes, it is taught in most simplest way for every one to understand

Who this course is for
People looking to advance their career in Data Science and Data Analytics
Already working in Data Science/ Data Analyst Roles and want to clear the concepts
Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses
Currently working as Data Analyst and want to progress to Data Science Roles

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