Machine Learning with Python Course

Machine Learning with Python

Course Overview

Become a trained professional from the safety and comfort of your own home by taking Machine Learning with Python Course . Whatever your situation and requirements, One Education can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.

One Education has been proud to produce an extensive range of best-selling courses, and Machine Learning with Python Course is one of our best offerings. It is crafted specially to promote easy learning at any location with an online device. Each topic has been separated into digestible portions that can be memorised and understood in the minimum of time. 

Teaching and training are more than just a job for the staff at One Education; we take pride in employing those who share our vision for e-learning and its importance in today’s society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.  

All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties. 

By completing Machine Learning with Python Course, you will have automatically earnt an e-certificate that is industry-recognised and will be a great addition to your competencies on your CV.

Whatever your reason for studying Machine Learning with Python Course, make the most of this opportunity from One Education and excel in your chosen field.

Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up. 

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Machine Learning with Python Course is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Section 01: Introduction
Introduction to Course 00:06:00
What is Machine Learning 00:05:00
Life Cycle 00:05:00
Section 02: Numpy Library
Introduction to Numpy Library 00:07:00
Creating Arrays from Scratch 00:06:00
Creating Arrays from Scratch Continued 00:05:00
Array Indexing and Slicing 00:10:00
Numpy Array Functions and Shape Modification 00:09:00
Mathematical Operations on Numpy Arrays 00:07:00
Introduction to Pandas Library 00:10:00
Working with Pandas DataFrames 00:07:00
Slicing and Indexing with Pandas 00:07:00
Create DataFrame and Explore Dataset 00:08:00
Data Analysis with Pandas DataFrame 00:12:00
Other Useful Methods in Pandas Library 00:04:00
Section 03: Matplotlib
Introduction to Matplotlib 00:06:00
Customizing Line Plots 00:08:00
Create Plot Using DataFrame 00:09:00
Standard Scaler to Scale the Data 00:06:00
Encoding Categorical Data 00:11:00
Sklearn Pipeline and Column Transformer 00:12:00
Evaluation Metrics in Sklearn 00:07:00
Linear Regression 00:12:00
Evaluation of Linear Regression Model 00:10:00
Section 04: Polynomial Regression
Polynomial Regression 00:13:00
Polynomial Regression Continued 00:13:00
Sklearn Pipeline Polynomial Regression 00:11:00
Decision Tree Classifier 00:13:00
Decision Tree Evaluation 00:07:00
Random Forest 00:06:00
Support Vector Machines 00:09:00
K-means Clustering 00:04:00
KMeans Clustering – Hands On 00:12:00
Data Loading and Analysis 00:06:00
Dimensionality Reduction with PCA 00:09:00
Hyper Parameter Tuning 00:09:00
Summary 00:02:00
Resource
Resource – Machine Learning with Python Course 00:00:00
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