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    Machine Learning Essentials for Starters

    Posted By: ELK1nG
    Machine Learning Essentials for Starters

    Machine Learning Essentials for Starters
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
    Language: English | Size: 537 MB | Duration: 1h 37m

    Learn all machine learning concepts to understand what you can do with machine learning.

    What you'll learn
    Machine learning basics
    Advantages and disadvantages of machine learning
    Machine learning algorithms
    Machine learning datasets

    Requirements
    A working computer
    Description
    In this course you will learn all the concepts of machine learning. You will be able to understand the difference between Artificial intelligence, Machine Learning and Deep Learning. Following are the main concepts that you will learn in the course:

    - Skills needed for Machine Learning

    - Data pre processing

    - Career in machine learning

    - Supervised machine learning

    - Unsupervised machine learning

    - Reinforcement in machine learning

    - Regression in machine learning

    - Clustering in machine learning

    - Machine learning algorithms

    - How to choose the right machine learning algorithms

    That's not all, there are a lot more machine learning concepts that you will learn in the course. After taking the course you will be able to get started with the machine learning because you will have the complete theoretical concepts of machine learning.

    After getting grip on machine learning you can become data scientists. Being a data scientist you can enjoy one of the top paying jobs with an average salary of $100,000 according to Glassdoor and Indeed. That's just the average, and it's not just about money, it's interesting work too!

    After purchasing the course, you will be able to ask questions or message me directly to get any help. You will have lifetime access to the course. After enrolling, if you are not satisfied then you can ask for refund. Looking forward to see you inside the course. Thanks.

    Who this course is for:
    People who want to learn basics of Machine Learning