Data Science & Machine Learning in Python

by London Academy of IT

Students will learn to apply machine learning and deep learning algorithms using the libraries such as scikit-learn, Kears, and Tensorflow. The course will cover topics such as data cleaning, exploratory data analysis, machine learning algorithms, model evaluation, and selecting the appropriate mode

£360

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img Duration

12 Hours

Course Details

Course Overview

This course is designed to provide students with the knowledge and skills needed to perform data science and machine learning tasks using Python programming language.

Students will learn to apply machine learning and deep learning algorithms using the libraries such as scikit-learn, Kears, and Tensorflow. The course will cover topics such as data cleaning, exploratory data analysis, machine learning algorithms, model evaluation, and selecting the appropriate model for business use.

 

Learning Objectives:

  • Understand the fundamental concepts of data science and machine learning

  • Perform exploratory data analysis and visualization using Matplotlib and Seaborn libraries

  • Build predictive models using machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests

  • Understand the basics of deep learning and its applications in Python

 

Skills Required

  • Basic programming knowledge in Python, familiarity with libraries like Numpy, Pandas, and Matplotlib. Our Python Programming for Beginners and Data Analysis with Python Training Courses cover all of the prerequisites.

  • Stratford Branch

    Unit 15, Boardman House 64 Broadway, Stratford, London
  • Teacher's Name
  • Rifat
  • Teacher's Experience
  • The course tutor Rifat has around 4 years of experience in Machine learning and deep learning domain and is a mentor in Coursera. He is an active machine learning researcher with an interest in Healthcare AI and Natural Language Processing. He has also worked in the machine learning industry. He also has rich experience with python and machine learning and deep learning like supervised, unsupervised, semi-supervised, reinforcement, and federated learning. he has worked in the IT industry across multiple domains like Healthcare AI, Recommendation systems, and Banking.
  • Gender
  • Male
  • Teacher's Nationality
  • N/A

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