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    DROSIA SERENITY
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    Professional Certificate in Machine Learning

    Posted By: ELK1nG
    Professional Certificate in Machine Learning

    Professional Certificate in Machine Learning
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | VTT | Size: 10.4 GB | Duration: 24h 0m

    Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source

    What you'll learn
    Machine Learning - [A -Z] Comprehensive Training with Step by step guidance
    Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)
    Unsupervised Learning - Clustering, K-Means clustering
    Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it.
    Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
    Deep Convolutional Generative Adversarial Networks (DCGAN)
    Java Programming For Data Scientists
    Python Programming Basics For Data Science
    Algorithm Analysis For Data Scientists

    Description
    Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning".m

    It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020.

    To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]

    "While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Watch this video to better understand the relationship between AI and machine learning. You'll see how these two technologies work, with useful examples and a few funny asides."

    Course Learning Outcomes

    To provide a solid awareness of Supervised & Unsupervised learning coming under Machine Learning

    Explain the appropriate usage of Machine Learning techniques.

    To build appropriate neural models from using state-of-the-art python framework.

    To build neural models from scratch, following step-by-step instructions.

    To build end - to - end effective solutions to resolve real-world problems

    To critically review and select the most appropriate machine learning solutions

    python programming is also inclusive.

    Requirements

    A computer with internet connection

    Passion & commitment

    At the end of the Course you will gain the following

    # Learn to Build 500+ Projects with source code

    # Strong knowledge of Fundamentals in Machine Learning

    # Apply for the Dream job in Data Science

    # Gain knowledge for your University Project

    Setting up the Environment for Python Machine Learning

    Understanding Data With Statistics & Data Pre-processing

    Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate Selection

    Data Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..

    Artificial Neural Networks with Python, KERAS

    KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step

    Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]

    Naive Bayes Classifier with Python [Lecture & Demo]

    Linear regression

    Logistic regression

    Introduction to clustering [K - Means Clustering ]

    K - Means Clustering