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 2023.

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