Machine Learning with Python-online

Entry requirements

Course Highlights

• Hands-on practice

• Industry-standard Project development

• Learn from experts

• Interactive teaching

• Full lifetime access

• Access on mobile

• Certificate of completion

Reasons to learn Machine learning

• Amazing job opportunities as the demand for Machine learning professionals is increasing at a high pace

• Machine learning enhances your decision-making power and it is easy to understand and learn.

• As per the survey average salary of machine learning, professionals is £52,000.

• Less completion in the field as there is an alarming gap between the demand and supply of machine learning professionals.

About Course

If you are willing to build your career in Machine Learning. Then this course is exclusively for you!

This course will help you learn about complex theory, algorithms, and coding libraries in a much simpler way. We will be your guide and help you ace into the World of Machine Learning.

With every tutorial, you will learn new skills and improve your understanding of this lucrative sub-field of Data Science. This course is exciting and challenging, but at the same time, we dive deep into the concepts of Machine Learning.

• This course enhances your machine learning skills to help you land your dream job.

• Through this course, you will get in-depth information about python and its machine learning library.

• Career guidance and doubt resolving sessions with industry experts.

• Learning through hands-on experience and live project development.

• You will learn in detail about NLP, Reinforcement Learning, and Deep Learning, and a lot more.

Months of entry

January, May, September

Course content

Machine Learning has become a vast field in computer science. It is basically getting things done by the computers without explicitly programming them. It has given us so many technologies self-driving car, speech recognition, web recommendation engines, etc.

Machine Learning, refers to a process of analysing data for training or building models. It is everywhere; from Amazon product recommendations to self-driven cars, it has great value throughout. As per the latest survey, the machine learning market is expected to grow by 43% by 2024. This revolution has greatly enhanced the demand for machine learning professionals.

Machine learning jobs have had a significant growth rate of 75% in the last four years, and the industry is rapidly continuously. In this course, we will work on your core skills like Machine Learning, and Learn specific topics like NLP, Reinforcement Learning, Deep Learning, and a lot more.

Career Perspective

Machine Learning is a process of analyzing data for training and building models. ML is just everywhere; from self-driven cars to Amazon product recommendations, it holds great value throughout. As per the latest survey, the global machine learning market is expected to grow by 43% by the year 2024. This revolution has increased the demand for machine learning professionals to a huge extent.

Machine learning and Artificial Intelligence jobs have had a significant growth rate of 75% in the last four years, and the industry is growing rapidly. The average salary of an ML professional is £52,000. A career in the Machine learning domain offers excellent growth, job satisfaction, insanely high salary, but it is a complex and challenging process.

Technologies Covered

Python programming language: It is an interpreted high-level programming language used for web development, machine learning, AI, ML, and a lot more. It provides a clear approach to programmers to write a clear and logical approach.

Pandas is a software library used for Data Analysis and manipulation. It offers operations and data structure and operations for manipulating time series and numerical tables.

NumPy: it is a python library that consists of the multidimensional array and a collection of mathematical functions to operate on this array

Matplotlib is a python library that makes matplotlib work like MATLAB. It provides an object-oriented API for inculcating plots into the application using GUI.

Plotly is an open-source plotting library that supports a wide range of scientific, financial, and geographical use cases.

SciKit-Learn is a Machine Learning library for the Python programming language. It features various regression, classification, and clustering algorithms.

Industrial Training

LSET offers an optional add-on industry training program to its students. Students wishing to enrol in this program require to pay fee of £2000 to receive training from industry experts at IT companies in the US or UK. This is a month-long program which takes place at the host company’s location. Interested students need to go through an assessment and host company’s interview process to be accepted in the program.

Prerequisites have been met

Option 1

1. Topic: Machine Learning (Prior Knowledge of Python Required)
2. Add-On:
3. Duration: 3 Months

Option 2

1. Topic: Machine Learning (Prior Knowledge of Python Required)
2. Add-On:Project
3. Duration: 5 Months

Option 3

1. Topic: Machine Learning (Prior Knowledge of Python Required)
2. Add-On: Project &Industrial Training and Paid Internship Program
3. Duration: 12 Months

Prerequisites have not been met

Option 1

1. Topic: Python + Machine Learning
2. Duration: 4 Months

Option 2

1. Topic:Python + Machine Learning
2. Add-On:Project
3. Duration: 6 Months

Option 3

1. Topic: Python + Machine Learning
2. Add-On: Project &Industrial Training and Paid Internship Program
3. Duration: 13 Months

Note: Our Industrial Training and Internship program includes a guaranteed 6 months paid internship (from 10 hours to 40 hours per week) with a technology company. Due to visa restrictions, some international students may not be able to participate in this program.

Information for international students

The London School of Emerging Technology has two levels of fee structures, one for home students and another one for international students who are enrolling in our certificate and advanced certificate courses. The fee for all the courses at LSET is the same until it is exclusively mentioned on the course page.

In addition to onsite classes, the LSET also offers online courses. Tuition fees for online courses are lower than those for onsite courses. If you are a home student, you may pay your tuition fees in equal instalments. Nevertheless, home students are required to make payment two weeks prior to the start of the course and international students within ten days of the receipt of a conditional offer letter. Upon payment of the fee, an unconditional letter of offer will be issued to you. Please note that all fees must be paid in pounds sterling.

Information for applicants from the EU, EEA and Switzerland

A new set of regulations and guidance has been published by the UK Council for International Student Affairs on 11 May 2021 regarding the assessment of fee status for international students. The fee status assessments will be conducted in accordance with this guidance.

In the event that you are an EU national and do not reside in the United Kingdom, you may be subject to overseas fees. Students with settled and pre-settled status in the UK and some other categories of students who work in the UK can qualify for Home fee status as long as they meet the residence criteria.

Fees and funding