All Courses

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
Professional Certificate in Machine Learning Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source

Professional Certificate in Machine Learning

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

What you’ll learn

Professional Certificate in Machine Learning

  • 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

Requirements

  • Computer & Internet Connection

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] (Ph.D., Ph.D. 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 using a state-of-the-art python framework.

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

Learn how 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 an 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

  1. Setting up the Environment for Python Machine Learning
  2. Understanding Data With Statistics & Data Pre-processing 
  3. Data Pre-processing – Scaling with a demonstration in python, Normalization, Binarization, Standardization in Python, feature Selection Techniques: Univariate Selection
  4. Data Visualization with Python -charting will be discussed here with step-by-step guidance, Data preparation and Bar Chart, Histogram, Pie Chart, etc…
  5. Artificial Neural Networks with Python, KERAS
  6. KERAS Tutorial – Developing an Artificial Neural Network in Python -Step by Step
  7. Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]
  8. Naive Bayes Classifier with Python [Lecture & Demo]
  9. Linear regression
  10. Logistic regression
  11. Introduction to clustering [K – Means Clustering ]
  12. 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 in Data Mining & Machine Learning

Who this course is for:

  • Anyone who wishes to start a career in Machine Learning
  • Last updated 5/2021

Content From: https://www.udemy.com/course/professional-certificate-in-machine-learning/
Download Now Linux High Availability Clustering Course

Advertisement




Categories

Advertisement




Friendly Website