Mastering Data Science and Machine Learning Fundamentals

5.0 /5

Mastering Data Science and Machine Learning Fundamentals
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UDEMY
Overview

Skills you will learn

Who should do this course?

Beginners who want to approach Machine Learning, but are too afraid of complex math to start
Students and academicians, especially those focusing on Machine Learning
Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way

What are the course deliverables?

Mastering Data Science fundamentals
Mastering Machine Learning Fundamentals
How and when to use each Machine Learning model
Make regression using Linear Regression, SVM, Decision Trees and Ensemble Modeling
Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA

More about this course

Data Science and Machine learning is not just another buzzword. So many professionals who work in different areas such as IT, security, marketing, automation, and even medicine, know that machine learning is the key to development. Without it, so many amazing things that make our lives easier :?? such as spam-filtering, Google search, relevant ads, accurate weather forecasting or sport prediction :?? would be impossible. This course is the starting point you:??ve been waiting for.
This course is designed for students and learners who want to demystify the concepts, statistics, and math behind machine learning algorithms, and who are curious to solve real-world problems using machine learning. The course is structured to start with the basics, and then to gradually develop an understanding of the array of machine learning and data science algorithms.
This ensures that no prior knowledge is required to start learning from this course. The content of this course is specially designed to encompass all the concepts that come under the domain of data science. This course not only guides you through the problems and concepts of machine learning but also elaborates how to successfully implement those concepts.