Python Machine Learning
Learn to create Machine Learning Algorithms in Python
Updated on Sep, 2023
Language - English
Course Description
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:
1. Machine Learning Introduction
2. Data Science Introduction
3. Machine Learning, Types of ML with Algorithms
4. How Machine Solve Real Time Problems
5. SciKit Learn & Machine Learning Map
6. Collecting & Preparing the Data
7. Train the Machine to Develop a Model
8. Using SciKitLearn Algorithms
9. Evaluate the Performance of the Model
10. Improve the Performance of the Model
Who this course is for:
- Beginner Python developers curious about Data Science
Goals
What will you learn in this course:
- Master Machine Learning on Python
- Make accurate predictions
- Make robust Machine Learning models
- Use Machine Learning for personal purpose
- Handle advanced techniques like Dimensionality Reduction
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
- Have a great intuition of many Machine Learning models
- Make powerful analysis
- Create strong added value to your business
- Know which Machine Learning model to choose for each type of problem
Prerequisites
What are the prerequisites for this course?
- Just some high school mathematics level.
Curriculum
Check out the detailed breakdown of what’s inside the course
Python Machine Learning
11 Lectures
-
Introduction
01:04
01:04
-
Machine Learning Introduction
25:06
25:06
-
Data Science Introduction
30:42
30:42
-
Machine Learning, Types of ML with Algorithms
01:04:53
01:04:53
-
How Machine Solve Real Time Problems
43:33
43:33
-
SciKit Learn & Machine Learning Map
40:27
40:27
-
Collecting & Preparing the Data
15:09
15:09
-
Train the Machine to Develop a Model
33:28
33:28
-
Using SciKitLearn Algorithms
27:29
27:29
-
Evaluate the Performance of the Model
38:35
38:35
-
Improve the Performance of the Model
19:56
19:56
Instructor Details
DATAhill Solutions Srinivas Reddy
Data ScientistMr. Srinivas Reddy is Founder & MD of DATAhill Solutions
He is Research Scholar (Ph.D) on Artificial Intelligence & Machine Learning
He Received Masters of Technology in Computer Science & Engineering from JNTU, MICROSOFT Certified Professional, IBM Certified Professional & Certified from IIT Kanpur & IIT Ropar.
Having 10+ Years of Experience in Software & Training.
His Experience includes Managing, Data Processing, Data Cleaning, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Science, Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Python, R, Weka, Data Management & BI Technologies.
Having Patents and Publications in Various Fields such as Artificial Intelligence, Machine Learning and Data Science Technologies.
Professionally, He is Data Science Management Consultant with over 7+ years of Experience in Finance, Retail, Transport and other Industries.
Course Certificate
User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.
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