Python Machine Learning Course
Learn to create Machine Learning Algorithms in Python
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 Course 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
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
Just some high school level mathematics.
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Curriculum
Check out the detailed breakdown of what’s inside the course
Python Machine Learning
11 Lectures
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Introduction 01:04 01:04
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Machine Learning Introduction 25:06 25:06
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Data Science Introduction 30:42 30:42
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Machine Learning, Types of ML with Algorithms 01:04:53 01:04:53
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How Machine Solve Real Time Problems 43:33 43:33
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SciKit Learn & Machine Learning Map 40:27 40:27
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Collecting & Preparing the Data 15:09 15:09
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Train the Machine to Develop a Model 33:28 33:28
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Using SciKitLearn Algorithms 27:29 27:29
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Evaluate the Performance of the Model 38:35 38:35
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Improve the Performance of the Model 19:56 19:56
Instructor Details
![DATAhill Solutions Srinivas Reddy](https://www.tutorialspoint.com/assets/profiles/163817/profile/200_161404-1579756642.jpg)
DATAhill Solutions Srinivas Reddy
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