If you’re interested in learning machine learning concepts and have experience programming, Python File Size: 1.55GB
Machine Learning with Python
What you will learn
Speak fluently about machine learning
Get a better understanding of the responsibilities with Machine learning is used Python
Machine learning: What is it and what it can do?
Content for the course
All 49 lectures expanded05:17:46
–Course Introduction
02:02
Introduction
Preview
02:02
–Machine Learning Concepts
14:00
Introduction
00:38
Supervised and unsupervised Learning
08:34
Semi-Supervised Learning
04:25
Summary
00:23
–First ML Application
01:10:56
Introduction
01:49
How to Install the Environment
02:54
Hello World
07:34
Installing Aaconda or Deep Learning Libraries
Preview
10:18
Email Spam Checker Part 1
07:09
Email Spam Checker – Part 2
13:39
Results of the Email Spam Checker
08:35
Download immediately Machine Learning with Python
Iris 70/30 – Part 1
08:56
Iris 70/30 Part 2
09:18
Summary
00:44
–Data Analysis
33:44
Introduction
00:32
Data Analysis – Example 1
12:57
Data Analysis – Example 2
10:47
Data Visualization
08:44
Summary
00:44
–Linear Algebra
01:03:54
Introduction
00:59
Parametric Algorithms
Preview
06:52
Linear Algebra
09:35
Linear Regression Calculation – Part 1
12:42
Linear Regression Calculation – Part 2
05:03
Part 1: Regression using Larger Datasets
10:18
Part 2: Regression using Larger Datasets
07:38
Part 3: Regression using Larger Datasets
10:09
Summary
00:38
–Natural Language Processing
01:09:02
Introduction
01:03
Natural Language Processing Part 1
08:57
Natural Language Processing Part 2
03:57
Tokenizing Content
Preview
11:21
Processing Unique Words
13:11
Summarizing Headlines – Part 1
09:18
Summarizing Headlines – Part 2
11:54
Summarizing Headlines – Part 3
08:31
Summary
00:50
–Clustering
01:03:54
Introduction
01:03
Cluster Introduction
Preview
08:31
M and EM Clustering
06:18
Walkthrough for Clustering Code
09:07
Clustering Iris Data – Part 1
08:57
Clustering Iris Data – Part 2
08:43
Clustering Iris Data – Part 3
08:15
Dendrogram Graphs
10:01
Summary
Preview
00:59
Course Summary
02:00
–Bonus Material
00:13
Bonus Lecture: Course Discounts
00:13
Requirements
Experience programming.
Experience with Python It will be very helpful.
Description
If you’re plugged into the tech industry, you’ll know that two things have been making consistent waves in many areas over the past few years; machine learning and Python. What happens when you combine new gold standard programming language with The most important tech developments in areas like financial trading, digital search and data and personal safety (among other)? Great things, that’s what. This course will show you what’s what, and get you started on becoming a machine learning guru.
Programming’s Future
Learn what machine learning is, and what it can accomplish.
Learn how Python utilises machine learning
From the ground up, machine learning processing can be built
Explore complex logic and data structures
Download immediately Machine Learning with Python
Increase your productivity Python Expertise
If you’re interested in learning machine learning concepts and have experience programming, Python This course is for you if you have previous experience. If you’re more of a beginner than an intermediate, don’t worry; each module starts with To explain concepts in the future, you will need to apply theory. Once you’re comfortable, you’ll put your knowledge into practice with You can walk through the code.
This course will teach you how to create procedural machine-learning from scratch. This course allows students to learn more about data processing. As each machine learning app is built, explanations are given and comments provided to help students understand the reasons behind certain actions. The code walkthroughs also show the construction process in real-time.
The course begins with an introduction to machine learning concepts, after which you’ll build your first machine learning application. We will then look at data analysis and natural language processing, as well as clustering. All of this is within the context Python. At the end of the course, you’ll be issued with You will receive a certificate of completion, and you will be fully introduced to the world of machine-learning. with Python.
What is it? Machine Learning?
Machine Learning is a method for data analysis that allows computers to effectively learn. ‘learn’ Without being programmed, they can work on their own. For example, when you stop scrolling through Facebook to read a friend or a page’s post, algorithms automatically work to make sure you’ll see more content from those sources earlier in your news feed in future.
This course is designed for the following:
You want to learn about machine learning concepts
You want to create machine learning processing from scratch
Ok with Complex logic and data structures
Course Features
- Lectures 0
- Quizzes 0
- Duration Lifetime access
- Skill level All levels
- Students 0
- Assessments Yes