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Hands-on Predicitive Analytics with Python (TTPS4879)

4.6 out of 5 rating Last updated 14/11/2024   English

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Duration

3 Days

18 CPD hours

Overview

This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to:
- Understand the main concepts and principles of predictive analytics
- Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects
- Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations
- Learn to deploy a predictive model's results as an interactive application
- Learn about the stages involved in producing complete predictive analytics solutions
- Understand how to define a problem, propose a solution, and prepare a dataset
- Use visualizations to explore relationships and gain insights into the dataset
- Learn to build regression and classification models using scikit-learn
- Use Keras to build powerful neural network models that produce accurate predictions
- Learn to serve a model's predictions as a web application

Description

Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages.
Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics

Prerequisites

This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts.

The Predictive Analytics Process
  • Technical requirements
  • What is predictive analytics
  • Reviewing important concepts of predictive analytics
  • The predictive analytics process
  • A quick tour of Python's data science stack
Problem Understanding and Data Preparation
  • Technical requirements
  • Understanding the business problem and proposing a solution
  • Practical project diamond prices
  • Practical project credit card default
Dataset Understanding Exploratory Data Analysis
  • Technical requirements
  • What is EDA
  • Univariate EDA
  • Bivariate EDA
  • Introduction to graphical multivariate EDA
Predicting Numerical Values with Machine Learning
  • Technical requirements
  • Introduction to ML
  • Practical considerations before modeling
  • MLR
  • Lasso regression
  • KNN
  • Training versus testing error
Predicting Categories with Machine Learning
  • Technical requirements
  • Classification tasks
  • Credit card default dataset
  • Logistic regression
  • Classification trees
  • Random forests
  • Training versus testing error
  • Multiclass classification
  • Naive Bayes classifiers
Introducing Neural Nets for Predictive Analytics
  • Technical requirements
  • Introducing neural network models
  • Introducing TensorFlow and Keras
  • Regressing with neural networks
  • Classification with neural networks
  • The dark art of training neural networks
Model Evaluation
  • Technical requirements
  • Evaluation of regression models
  • Evaluation for classification models
  • The k-fold cross-validation
Model Tuning and Improving Performance
  • Technical requirements
  • Hyperparameter tuning
  • Improving performance
Implementing a Model with Dash
  • Technical requirements
  • Model communication and/or deployment phase
  • Introducing Dash
  • Implementing a predictive model as a web application
Additional course details:

Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Hands-on Predicitive Analytics with Python (TTPS4879) Course

Available Delivery Options for the Hands-on Predicitive Analytics with Python (TTPS4879) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Hands-on Predicitive Analytics with Python (TTPS4879) training provide?

The 3 day. Hands-on Predicitive Analytics with Python (TTPS4879) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Hands-on Predicitive Analytics with Python (TTPS4879) training course prepare you for?

The Hands-on Predicitive Analytics with Python (TTPS4879) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Hands-on Predicitive Analytics with Python (TTPS4879) training?

Foundation-level Predictive Analytics with Python skills for Intermediate skilled team members new to
these skills. This is not a basic class.

Do you provide training for the Hands-on Predicitive Analytics with Python (TTPS4879).

Yes we provide corporate training, dedicated training and closed classes for the Hands-on Predicitive Analytics with Python (TTPS4879). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Hands-on Predicitive Analytics with Python (TTPS4879) program.

The Hands-on Predicitive Analytics with Python (TTPS4879) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include Python; Data Science; Data Anlaysis.

Why are Nexus Human the best provider for the Hands-on Predicitive Analytics with Python (TTPS4879)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for UK on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Hands-on Predicitive Analytics with Python (TTPS4879) training.

Yes, the discount code PENPAL5 is currently available for the Hands-on Predicitive Analytics with Python (TTPS4879) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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