Path title:

Ultimate Guide to learn Machine Learning in 2023

Created 2 years ago and Updated 2 years ago

Objectives:

Learn Machine learning with $0 Cover all topics needed to be a Machine Learning Engineer Path curated with Top and Free Resources available

13h

9 Steps

for all

Free

6 watching

3 reading

+ 13

		#	Type	Title	Creator	Platform	Duration
		1		Python Tutorial - Python Full Course for Beginners	Programming with Mosh	youtube.com	6h
	What you'll learn in this step: Python Basics - Learn Basic python skills with this tutorial
		2		Intermediate Python Programming Course	freeCodeCamp.org	youtube.com	5h
	What you'll learn in this step: Intermediate Python - Learn Beyond the Basic stuff with python from this Tutorial
		3		Data Structures and Algorithms in Python \| Jovian	Aakash	jovian.com	12h
	What you'll learn in this step: A beginner-friendly introduction to data structures and algorithms using the Python programming language to help you prepare for coding interviews
		4		SQL Tutorial - Full Database Course for Beginners	freeCodeCamp.org	youtube.com	4h
	What you'll learn in this step: This Tutotial is a comprehensive guide that covers the basics of SQL programming. The tutorial is aimed at beginners who want to learn how to use SQL to manage and manipulate data in relational databases.
		5		Data Analysis with Python: Zero to Pandas \| Jovian	Aakash	jovian.com	6h
	What you'll learn in this step: It is designed to help beginners learn data analysis using Python and the visualisation libraries,The course is perfect for anyone who wants to learn data science but has little to no programming experience.
	6		JOIN TO UNLOCK	********	********	********
What you'll learn in this step: Machine Learning Bookcamp: gain the knowledge necessary to work as a data scientist or machine learning engineer by learning machine learning through projects.
	7		JOIN TO UNLOCK	********	********	********
What you'll learn in this step: "Deep Learning for Coders" is a popular course offered by Fast.ai that teaches practical deep learning skills to coders, developers, and other professionals. The course covers a range of topics, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), and more.
	8		JOIN TO UNLOCK	********	********	********
What you'll learn in this step: This course that provides a comprehensive overview of the mathematical foundations of machine learning. The course covers a range of topics, including linear algebra, calculus, probability theory, and optimization, which are all essential for understanding and developing machine learning algorithms.
	9		JOIN TO UNLOCK	********	********	********
What you'll learn in this step: Learn how to combine machine learning with software engineering to develop, deploy & maintain production ML applications

Access to 4 More Steps with free subscription

Curated by:

Santhosh Kumar

Data Scientist

@santhoshkumar

Skills:

datascience python machinelearning deeplearning mlops

Curated from: