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
DurationCourse 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.
The London Academy of IT has been delivering practical oriented IT courses in London since 2012. Our courses emphasise on both practical work and exercises as we strongly believe the best approach to learn is by having interactive sessions. T
he Academy focuses on delivering high quality training courses to help build your knowledge as well as giving you competitive edge that employers love.
We offer competitive prices rivalling other training institutes without compromising on quality or satisfaction. The individual class size has no more than 7 people to ensure that you receive the best from your sessions. Our classes use a combination of technologies and methods when delivering courses.
Our training venue is situated in the heart of Stratford, just 5 minutes walk from Stratford Station.
Convenient training location
Affordable and competitive prices
Trainers with professional background
Small class sizes
Weekend, evening and daytime classes
R is a programming language and software environment that can be used for graphic representation, statistical analysis, and reporting.
Things that you'll learn on this two-day course include, how to load data from all manner of different sources, and how to build a data model and more.
Data science is the study of extracting meaningful insights from data. It is a forward-looking approach with the focus on analysing the past or current data and predicting the future outcomes with the aim of making informed decisions.
This course will guide you in learning how to utilize the strength of Data Science With Python
This Data Science workshop has been designed for professionals (beginners) from all backgrounds with the skills and tools needed to kick-start their tech career, join a data science team, or launch their start-up. Data scientists are changing the way big data is used in different institutions.
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