Professional Certificate in Machine Learning

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

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Aug 3, 2023 - 18:12 Updated: Jun 23, 2023 - 20:53
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Professional Certificate in Machine Learning
Professional Certificate in Machine Learning

Professional Certificate in Machine Learning udemy course

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

What you'll learn:

Professional Certificate in Data Mining & Machine Learning

  • 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".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

  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 of Data Mining & Machine Learning

Who this course is for:

Course Details:

  • 24 hours on-demand video
  • 31 articles
  • 2 downloadable resources
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

Professional Certificate in Machine Learning udemy free download

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

Demo Link: https://www.udemy.com/course/professional-certificate-in-machine-learning/

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