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Professional Certificate in Machine Learning


Professional Certificate in Machine Learning - 
Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source
  • Hot & New
  • Created by Academy of Computing & Artificial Intelligence
  • English [Auto]

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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


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.

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

What if you have questions?
we offer full support, answering any questions you have.

There’s no risk !

Who this course is for:
Anyone who is interested of Data Mining & Machine Learning

Who this course is for:

Anyone who wish to start a career in Machine Learning

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