Python programming for Machine Learning , Data Analytics
What you'll learn
- Data Science & Machine Learning with Python
- Data analytics
- Understanding Data With Statistics & Data Pre-processing
- Data Visualization with Python
- Artificial Neural Networks with Python
- Linear regression
- Logistic regression
- Introduction to clustering [K - Means Clustering ]
- Deep Learning -Handwritten Digits Recognition
- Python Programming
Requirements
- Internet Connection
Description
At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning.
The course will have step by step guidance for machine learning & Data Science with Python.
You can enhance your core programming skills to reach the advanced level. You will learn about Software Design as well. eg: Flow charts, pseudacodes, algorithms. By the end of these videos, you will get the understanding of following areas the
Setting up the Environment for Python Machine Learning
Understanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)
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
Python Programming
Setting up the environment
Python For Absolute Beginners : Setting up the Environment : Anaconda
Python For Absolute Beginners : Variables , Lists, Tuples , Dictionary
Boolean operations
Conditions , Loops
(Sequence , Selection, Repetition/Iteration)
Functions
File Handling in Python
Flow Charts
Algorithms
Modular Design
Introduction to Software Design - Problem Solving
Software Design - Flowcharts - Sequence
Software Design - Modular Design
Software Design - Repetition
Flowcharts Questions and Answers # Problem Solving
Who this course is for:
- Beginners of Python programming who are curious about Data Science & Machine Learning
Instructor
![Academy of Computing & Artificial Intelligence](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.0 Instructor Rating
- 2,270 Reviews
- 168,147 Students
- 20 Courses
Academy of Computing & Artificial Intelligence proudly presents you these valuable courses. [ACAI]
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.
The Founder has over 10 years of work experience as a Researcher, Senior Lecturer, Project Supervisor & Engineer.
MSc Artificial Intelligence (University of Moratuwa), BSc Software Engineering - First Class Honours (University of Westminster),SCJP, SCWC
He has completed a MSc in Artificial Intelligence.
Completed BSc Software Engineering - First Class Honors from University of Westminster (UK).
Sun Certified Java Programmer (SCJP). – 93% and a Sun Certified Web Component Developer 97%. .
Research experience in Data mining, Machine Learning , Cloud computing, Business Intelligence & Software Engineering.
Course Team includes : PhD Holders , PhD Candidates, Senior Lecturers , Consultants , Researchers, Industry Experts & hiring managers