Machine Learning with Python

Machine Learning with Python

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    Overview

    Master machine learning algorithms with python by taking the advanced Machine Learning with Python course. 

    The exclusive Machine Learning with Python course is crafted with effective resources and interactive sessions to get you a solid understanding of implementing ML models in python. Our expert-educators will thoroughly train you on importing a dataset in python, resolving missing values, managing category variables, simple linear regression and many more.

    By completing the course, you’ll gain confidence in implementing python promptly like an expert. 

    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-recognized professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.

    Why study this course

    Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge.

    The Machine Learning with Python is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.

    Course Curriculum

    Module 01: Introduction to Machine Learning Algorithms
    Introduction to types of ML algorithm 00:02:00
    Module 02: Preprocessing
    Importing a dataset in python 00:02:00
    Resolving Missing Values 00:06:00
    Managing Category Variables 00:04:00
    Training and Testing Datasets 00:07:00
    Normalizing Variables 00:02:00
    Normalizing Variables – Python Code 00:03:00
    Summary 00:01:00
    Module 03: Regression
    Simple Linear Regression – How it works? 00:04:00
    Simple Linear Regreesion – Python Implementation 00:07:00
    Multiple Linear Regression – How it works? 00:01:00
    Multiple Linear Regression – Python Implementation 00:09:00
    Decision Trees – How it works? 00:05:00
    Random Forest – How it works? 00:03:00
    Decision Trees and Random Forest – Python Implementation 00:04:00
    Module 04: Classification
    kNN – How it works? 00:02:00
    kNN – Python Implementation 00:10:00
    Decision Tree Classifier and Random Forest Classifier in Python 00:10:00
    SVM – How it works? 00:04:00
    SVM – Python Implementation 00:06:00

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