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    Mastering Data Science and Machine Learning Fundamentals

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    Mastering Data Science and Machine Learning Fundamentals - Online Course Download
    Mastering Data Science and Machine Learning Fundamentals - Online Course Download
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    Data Science free online course free udemy paid course freecourse freecoursesite Machine Learning udemy course download udemy free download

    What you'll learn :

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

    Requirements :

    Just some high school mathematics level.

    Description :

    A comprehensive course that will teach you how Data Science and Machine Learning Work.

    Welcome to Mastering Data Science & Machine Learning Fundamentals for Beginners!

    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 sports prediction – would be impossible. This course is the starting point you’ve been looking 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.

    No prior knowledge is required to start learning from this course. The course not only guides you through the problems and concepts of machine learning but also elaborates on how to implement those concepts successfully.

    We will draw on our expertise in data science and AI to guide you through what matters and what doesn’t. Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon.

    We’ll cover the data science, machine learning, and data mining concepts and techniques which you are looking for, including:

    Basics of Machine Learning

    Supervised Vs. Unsupervised Learning

    Linear Regression

    Support Vector Machine (SVM)

    Decision Tree and Random Forest

    Logistic Regression

    K-Nearest Neighbors (K-NN)

    Naive Bayes

    K-Means Clustering

    Hierarchical Clustering

    Evaluating Machine Learning Models Performance

    Neural Networks

    Best Practices for Data Scientist

    and much more!

    If you’re a programmer looking to switch into an exciting new career track or a data analyst looking to make the transition into the AI industry – this course will teach you the basic techniques used by real-world industry data scientists. These are topics any successful technologist needs to know about, so start learning today?

    Become a Data Scientist by enrolling in this course. Even if you are a novice in this field, you will find this illustrative course informative, useful, and helpful. And if you aren’t new to data science, you’ll still find also this course immensely beneficial.

    Enroll now!

    Who this course is for :

    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
    Illustrator CC 2020 MasterClass

    Course Size Details :

    2 hours on-demand video
    Full lifetime access
    Access on mobile and TV
    Certificate of completion

    View Demo

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