Machine Learning With Python

by London School Of Emerging Technology (LSET) Claim Listing

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.

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img Duration

3 Months

Course Details

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 analysing 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.

 

Learning Objectives

  • Anyone interested in Machine Learning.

  • College students who want to build a career in Data Science.

  • Data analysts who are willing to level up in Machine Learning.

  • People who are dissatisfied with their job and are willing to become Data scientists.

  • People who are willing to add value to their business by using robust Machine Learning tools.

  • Students must have at least high school knowledge in maths and must be willing to learn Machine Learning.

  • Any intermediate-level person who has an idea about the basics of machine learning, classical algorithms like logistic regression or linear regression, but who wants to learn more about it and explore different fields of Machine Learning.

  • London Branch

    1 Cornhill,, London

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