Machine Learning and Data Science using Python for Beginners

Simpliv

Course

Online

£ 10 VAT inc.

The best Other Education courses

See all

See all

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, Matplotlib & Pandas.Hi.. Hello and welcome to my new course, Machine Learning with Python for Dummies. We will discuss about the overview of the course and the contents included in this course.Artificial Intelligence, Machine Learning and Deep Learning Neural Networks are the most used terms now a days in the technology world. Its also the most mis-understood and confused terms too.Artificial Intelligence is a broad spectrum of science which tries to make machines intelligent like humans. Machine Learning and Neural Networks are two subsets that comes under this vast machine learning platform.Lets check what's machine learning now. Just like we human babies, we were actually in our learning phase then. We learned how to crawl, stand, walk, then speak words, then make simple sentences.. We learned from our experiences. We had many trials and errors before we learned how to walk and talk. The best trials for walking and talking which gave positive results were kept in our memory and made use later. This process is highly compared to a Machine Learning Mechanism.Then we grew young and started thinking logically about many things, had emotional feelings, etc. We kept on thinking and found solutions to problems in our daily life. That's what the Deep Learning Neural Network Scientists are trying to achieve. A thinking machine.
.
But in this course we are focusing mainly in Machine Learning. Throughout this course, we are preparing our machine to make it ready for a prediction test. Its Just like how you prepare for your Mathematics Test in school or college. We learn and train ourselves by solving the most possible number of similar mathematical problems. Lets call these sample data of similar problems and their solutions as the 'Training Input' and 'Training Output' Respectively. And then the day comes when we have the actual test Summarize data with...

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, Matplotlib & Pandas

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Artificial Intelligence
  • Networks

Course programme

Course Introduction and Table of Contents 1 lecture 09:08 Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents 1 lecture 09:08 Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Course Introduction and Table of Contents Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 1 lecture 04:37 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 1 lecture 04:37 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 2 - Classifications and Applications 1 lecture 05:54 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 1 lecture 05:54 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications System and Environment preparation - Part 1 2 lectures 08:20 System and Environment preparation - Part 1 IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course IMPORTANT: Tensorflow Incompatibility. Link to download Python 3.7 Anaconda. IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course System and Environment preparation - Part 1 2 lectures 08:20 System and Environment preparation - Part 1 IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course IMPORTANT: Tensorflow Incompatibility. Link to download Python 3.7 Anaconda. IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course System and Environment preparation - Part 1 IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course System and Environment preparation - Part 1 IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course System and Environment preparation - Part 1 IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course System and Environment preparation - Part 1 IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course IMPORTANT: Tensorflow Incompatibility. Link to download Python 3.7 Anaconda. IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course IMPORTANT: Tensorflow Incompatibility. Link to download Python 3.7 Anaconda. IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course IMPORTANT: Tensorflow Incompatibility. Link to download Python 3.7 Anaconda. IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course IMPORTANT: Tensorflow Incompatibility. Link to download Python 3.7 Anaconda. IMPORTANT: The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course The latest version of Anaconda features Python 3.8 which is not yet supported by Tensorflow and Keras. Tensorflow community is currently working on this. Let's use the previous version of anaconda from this link until a compatible version is released So I strongly recommend downloading the Python 3.7 Anaconda for this course System and Environment preparation - Part 2 1 lecture 05:44 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 1 lecture 05:44 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 System and Environment preparation - Part 2 Learn Basics of python - Assignment 1 lecture 09:41 Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment 1 lecture 09:41 Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Assignment Learn Basics of python - Flow Control 1 lecture 09:25 Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control 1 lecture 09:25 Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Flow Control Learn Basics of python - Functions 1 lecture 03:58 Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions 1 lecture 03:58 Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Functions Learn Basics of python - Data Structures pDataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data...

Additional information

A medium configuration computer and the willingness to indulge in the world of Machine Learning

See related categories

Machine Learning and Data Science using Python for Beginners

£ 10 VAT inc.

The best Other Education courses

See all

See all