Mastering Data Science and Machine Learning Fundamentals

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AI Sciences

1:48:14

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01.01-welcome.mp4

01:43

01.02-introduction to data science.mp4

06:56

02.01-understanding data science terms.mp4

03:46

02.02-understanding machine learning.mp4

05:42

02.03-types of learning.mp4

04:18

02.04-understanding data science modeling.mp4

04:38

02.05-model parameters versus hyperparameters.mp4

01:34

03.01-how linear regression works.mp4

07:10

03.02-how decision trees work.mp4

09:16

03.03-how bagging and random forest work.mp4

08:04

03.04-how support vector machine works.mp4

03:45

03.05-neural networks-part 1.mp4

08:14

03.06-neural networks-part 2.mp4

12:00

03.07-how logistic regression works.mp4

05:06

03.08-how k-nearest neighbour (knn) works.mp4

03:39

03.09-clustering techniques.mp4

05:23

04.01-evaluating models performance.mp4

08:08

05.01-best practices for a data scientist.mp4

08:52

Description

Machine learning is the key to development in many areas, such as IT, security, marketing, automation, and even medicine. Without machine learning, it is impossible to build intelligent applications and devices, such as Alexa, Siri, and Google Assistant. This course will help to get familiar with data science and machine learning. The course starts with an introduction to data science, explaining different terms associated with it. You will also become familiar with machine learning and data science modeling and explore the key differences between model parameters and hyperparameters. Next, you will become familiar with the concepts of machine learning models, such as linear regression, decision trees, random forests, neural networks, and clustering techniques. Towards the end, you will learn how to evaluate machine learning models and learn the best practices to succeed in your data scientist role. By the end of this course, you will have a solid understanding of data science and machine learning fundamentals.

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Instructor's Courses

We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.