Python Machine Learning Course
Learn to create Machine Learning Algorithms in Python
Updated on Apr, 2024
Language - English
Development,Python,Data Science
Lectures -12
Duration -5.5 hours
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Course Description
If you're interested in Machine Learning, this course is for you! This course was created by two expert Data Scientists in order to share our knowledge and assist you in learning difficult theory, algorithms, and code libraries in a straightforward manner.
Python Machine Learning Overview
Python Machine Learning course will guide you through the world of machine learning step by step. With each session, you will learn new abilities and get a better grasp of this difficult yet profitable topic of Data Science. This course is entertaining and thrilling, but it also delves deeply into Machine Learning. It is organized in the following manner:
Introduction to machine learning.
Introduction to Data Science.
Algorithms for Machine Learning and its various forms.
How Computers Solve Problems in Real Time.
Map for SciKit Learn and Machine Learning.
Gathering and Getting Ready for the Data.
Train the machine to develop a model.
SciKitLearn algorithms are used.
Analyze the model's performance.
Enhance the model's performance.
Goals
What will you learn in this course:
Master Python Machine Learning.
Make accurate predictions and robust Machine Learning models.
Implement 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.
Create a strong added value for your business.
Know which Machine Learning model to choose from for specific problems.
Prerequisites
What are the prerequisites for this course?
Just some high school level mathematics.
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.
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