What you'll learn :
Data mining & 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
Evaluating the Machine Learning Algorithms: Precision, Recall, F-Measure, Confusion Matrices,
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.
Deep Convolutional Generative Adversarial Networks (DCGAN)
KERAS Tutorial – Developing an Artificial Neural Network in Python -Step by Step
Java Programming For Data Scientists
Python Programming Basics For Data Science
Algorithm Analysis For Data Scientists
Web Development for Data Scientists
Data Visualization
500+ Artificial Intelligence Projects with source
40 Machine Learning Algorithms with source code and guided tutorial 00:00
Requirements :
Computer & Internet Connection
Passion for Data mining & Machine Learning
Description :
Academy of Computing & Artificial Intelligence proudly presents you the course “Professional Certificate in Data Mining & Machine Learning”.
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.
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
Who this course is for :
Anyone who wish to start a career in Data mining & Machine Learning
Course Size Details :
28.5 hours on-demand video
46 articles
4 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of completion
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