Python for Machine Learning - eLearning Bundle Course

Course Details:

Length: 9 courses

Access Length: 6 months

Price: $1,000/person (USD)

Bulk Pricing: 10+ Contact Us

Course Features:

Instant Access After Purchase

Lecture by Recorded Video

Stop and Start as Needed

Certificate of Completion

Software Lab Included?: No

Delivery Method:

Self-Paced Online

Individuals and Groups
@ Your Location

Course Overview

This eLearning bundle includes these courses:

Getting Started with Machine Learning in Python
Python Machine Learning: Solutions
Machine Learning for Algorithmic Trading Bots with Python
Text Mining with Machine Learning and Python
The Complete Machine Learning Course with Python

Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.

How it Works

This course is a self-paced learning solution to fit your own schedule. Certstaffix Training eLearning courses you take on your own schedule in a web browser.

Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.
Lecture utilizing video and recorded screen shots
6 month subscription length
Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

Course Notes

This is a lecture only eLearning course. If you wish to practice with hands-on activities, you must provide the software and environment.

Languages:

Audio/Video: American English
Subtitles (Closed Caption): No

Key Features:

Audio Narration
Video

Course Topics

Getting Started with Machine Learning in Python - 2 hrs 53 min

Machine Learning is a hot topic. And you want to get involved! From developers to analysts, this course aims to bring Machine Learning to those with coding experience and numerical skills.

In this course, we introduce, via intuition rather than theory, the core of what makes Machine Learning work. Learn how to use labeled datasets to classify objects or predict future values, so that you can provide more accurate and valuable analysis. Use unlabelled datasets to do segmentation and clustering, so that you can separate a large dataset into sensible groups.

You will learn to understand and estimate the value of your dataset. We guide you through creating the best performance metric for your task at hand, and how that takes you to the correct model to solve your problem. Understand how to clean data for your application, and how to recognize which Machine Learning task you are dealing with.

If you want to move past Excel and if-then-else into automatically learned ML solutions, this course is for you!

Define core concepts of machine learning so you can understand fellow data scientists
Clean your data to optimize how it feeds into your Machine-Learning models
Perform regression in a supervised learning setting so that you can predict numbers, prices, and conversion rates
Perform classification in a supervised-learning setting, teaching the model to distinguish between different plants, discussion topics, and objects
Use decision tree models and random forests, creating models that are explainable but powerful
Go past linear models with SVMs and polynomial regression, tackling relationships that are non-linear
Measure and evaluate your Machine-Learning pipeline, so that you can improve your solution over time

Python Machine Learning: Solutions - 4 hrs 30 min

Machine learning is increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.

With this course, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, you will use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

You will discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modelling, data visualization techniques, recommendation engines, and more with the help of real-world examples.

Identify classification algorithms and apply them to the income bracket estimation problem
Perform market segmentation using unsupervised learning
Utilize data visualization techniques to interact with your data in diverse ways and find out how to build a recommendation engine
Interact with text data and build models to analyze it
Work with speech data and recognize spoken words using Hidden Markov Models
Analyze stock market data using conditional random fields
Work with image data and build systems for image recognition and biometric face recognition
Use deep neural networks to build an optical character recognition system

Machine Learning for Algorithmic Trading Bots with Python - 4 hrs 50 min

Have you ever wondered how the Stock Market, Forex, Cryptocurrency and Online Trading works? Have you ever wanted to become a rich trader having your computers work and make money for you while you’re away for a trip in the Maldives? Ever wanted to land a decent job in a brokerage, bank, or any other prestigious financial institution? We have compiled this course for you in order to seize your moment and land your dream job in financial sector. This course covers the advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning. We leverage the classic techniques widely used and applied by financial data scientists to equip you with the necessary concepts and modern tools to reach a common ground with financial professionals and conquer your next interview.

By the end of the course, you will gain a solid understanding of financial terminology and methodology and a hands-on experience in designing and building financial machine learning models. You will be able to evaluate and validate different algorithmic trading strategies. We have a dedicated section to backtesting which is the holy grail of algorithmic trading and is an essential key to successful deployment of reliable algorithms.

Define financial terminology and methodology and how to apply them
Utilize financial data structures and financial machine learning
Define complex financial terminology and methodology
Identify ensemble models and cross-validation for financial applications
Identify backtesting for models and strategies evaluation and validation
Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum
Put machine learning into real world problems and derive solutions

Text Mining with Machine Learning and Python - 2 hrs 26 min

Text is one of the most actively researched and widely spread types of data in the Data Science field today. New advances in machine learning and deep learning techniques now make it possible to build fantastic data products on text sources. New exciting text data sources pop up all the time. You will build your own toolbox of know-how, packages, and working code snippets so you can perform your own text mining analyses.

You will start by understanding the fundamentals of modern text mining and move on to some exciting processes involved in it. You will learn how machine learning is used to extract meaningful information from text and the different processes involved in it. You will learn to read and process text features. Then you will learn how to extract information from text and work on pre-trained models, while also delving into text classification, and entity extraction and classification. You will explore the process of word embedding by working on Skip-grams, CBOW, and X2Vec with some additional and important text mining processes. By the end of the course, you will have learned and understood the various aspects of text mining with ML and the important processes involved in it, and will have begun your journey as an effective text miner.

Refine and clean your text
Extract important data from text
Classify text into types
Apply modern ML and DL techniques on the text
Work on pre-trained models
Utilize important text mining processes
Analyze text in the best and most effective way

The Complete Machine Learning Course with Python - 18 hrs 22 min

Do you want to be a data scientist and build machine learning projects that can solve real-life problems? If yes, then this course is perfect for you.

During the course, you will learn how to:

Set up a Python development environment correctly
Gain complete machine learning toolsets to tackle most real-world problems
Understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, prevision, recall, and when to use them
Combine multiple models with by bagging, boosting, or stacking
Make use of unsupervised machine learning algorithms such as Hierarchical clustering and k-means clustering to understand your data
Develop in Jupyter (IPython) notebook, Spyder and various IDE
Communicate visually and effectively with Matplotlib and Seaborn
Engineer new features to improve algorithm predictions
Make use of train/test, K-fold and Stratified K-fold cross-validation to select the correct model and predict model perform with unseen data
Use SVM for handwriting recognition, and classification problems in general
Use decision trees to predict staff attrition
Apply the association rule to retail shopping datasets
By the end of this course, you will have a Portfolio of 12 machine learning projects that will help you land your dream job or enable you to solve real-life problems in your job or personal life with machine learning algorithms.

Essential Career Skills Pack:

Productivity and Time Management - 30 minutes

It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.

Basic Digital Skills - 13 minutes

With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.

4 Ways to Boost Creativity - 30 minutes

The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.

The 11 Essential Career Soft Skills - 1 hour 10 minutes

Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.

Explore Machine Learning Training Classes Near Me:

Certstaffix Training offers self-paced eLearning courses for Machine Learning, ideal for those looking for convenient and flexible learning options. With these online classes, you can save time trekking to and from a physical class location by taking courses remotely. Have the ability to learn when it's most convenient for you with our eLearning courses – no more worrying about searching for "Machine Learning classes near me" and commuting long distances. Take advantage of our online Machine Learning classes today to get the education you need quickly. Start learning today and see how Certstaffix Training can help you reach your goals.

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Course FAQs

What is the Class Format?

This training is a self-paced eLearning course that you have access to for 6 months after purchase.

What Are the Basics of Machine Learning?

Machine learning is a powerful technique that has gained immense popularity over the last few years due to its ability to provide meaningful insights from vast amounts of data. Machine-learning algorithms allow computers to learn without being explicitly programmed, enabling them to make decisions and predictions.

To get started with machine learning, you must understand its core concepts. This includes properly preparing your data for machine-learning models, as well as understanding supervised learning and regression to predict numbers, prices, and conversion rates. You should also be familiar with classification—teaching the model to distinguish between different plants, discussion topics, and objects—as well as decision tree models and random forests. You should be aware of methods for tackling relationships that are non-linear, such as support vector machines and polynomial regression.

Once your machine learning pipeline is built, it’s important to measure its performance so that you can make improvements. This may involve testing the model with different data sets or refining the algorithms used by the model. By taking the time to understand and measure your machine learning pipeline, you can ensure that it is running optimally and providing accurate insights for your business.

What Are Some Examples of Machine Learning Solutions?

Machine learning is a powerful technology used to identify patterns and make predictions from data. It can be deployed in many different ways, making it a versatile solution for businesses of all sizes.

Some examples of machine learning solutions include classification algorithms, market segmentation using unsupervised learning, data visualization techniques for interacting with data, building recommendation engines, analyzing text data, recognizing spoken words using Hidden Markov Models, using conditional random fields for stock market data, building systems for image recognition and biometric face recognition, and constructing optical character recognition systems with deep neural networks.

These examples demonstrate the power of machine learning to create meaningful insights from data and make decisions with greater accuracy. By implementing these solutions, businesses can derive more value from their data and gain a competitive edge.

As machine learning technology continues to evolve, it opens up new opportunities for businesses to unlock the potential of their data. With the right approach and tools, they can harness the power of machine learning to make better decisions that drive success.

What Is Python Machine Learning for Algorithmic Trading?

Python Machine Learning for Algorithmic Trading is a comprehensive toolkit for modern-day traders. It’s designed to help you develop and hone your skills in financial data structures, machine learning algorithms, complex financial terminology, and more. You can learn how to apply ensemble models and cross-validation techniques to financial applications as well as understand how to use backtesting for models and strategies evaluation and validation. Once you have a good grasp of the fundamentals, you can apply your knowledge to real-world cryptocurrency trading such as BitCoin and Ethereum. With Python Machine Learning for Algorithmic Trading, you’ll be able to put machine learning into practical use by deriving solutions to real-world problems.

What Is Python Machine Learning for Text Mining?

Python Machine Learning for Text Mining is an effective technique to quickly analyze text-based data and extract meaningful insights from it. It uses modern ML and DL techniques to classify the text into different types, refine and clean the text, apply pre-trained models, and extract key information from the text. The process of text mining enables users to work on the text and analyze it most efficiently.

Text Mining helps users to save time and energy by quickly processing large amounts of data with ease and accuracy. This makes it an ideal tool for businesses that need to process a lot of textual information. It also helps them gain valuable insights from their text data that can be used to make informed decisions. Python Machine Learning for Text Mining is a powerful technique that can be used to improve business operations and achieve better results.

What Are Some Real-Life Uses for Machine Learning With Python?

Machine Learning with Python is a powerful tool that can be used in many real-world application scenarios. For example, it can be used to perform regression and classification tasks by using algorithms such as R-squared, MSE, accuracy, confusion matrix, precision, and recall - all of which are well-suited for predictive or descriptive analytics tasks. More complex algorithms such as bagging, boosting, or stacking can be used to combine multiple models for greater accuracy.

Unsupervised machine learning algorithms such as Hierarchical clustering and K-means clustering can also be leveraged to gain insight into your data without labels. To effectively implement these tools, you'll need to learn how to use Jupyter's (IPython) notebook, Spyder, and various IDEs. Matplotlib and Seaborn can be used to communicate visual insights effectively.

You may also consider engineering new features or using techniques such as training/test sets, K-fold, and Stratified K-fold cross-validation to select the correct model. This will help improve algorithm predictions, enabling your models to better serve the needs of end users.

By leveraging Machine Learning with Python, you can effectively create models that provide predictive analytics into complex datasets. With a bit of practice, the potential for success is significant.

Related Python Information:

How Much Do Python Training Courses Cost?

Public instructor led Python training course prices start at $2,025 per student. Group training discounts are available.

Self-Paced Python eLearning courses cost $400 at the starting point per student. Group purchase discounts are available.

What Python Skills Should I Learn?

A: If you are wondering what Python programming skills are important to learn, we've written a Python Skills and Learning Guide that maps out Python skills that are key to master and which of our courses teaches each skill.

Read Our Python Skills and Learning Guide

Take Python Language Training

Are you thinking about honing your Python skills? Explore the best Python training online with Certstaffix Training. We offer three flexible ways to help you boost your proficiency in Python language training; our live Python online classes, self-paced eLearning, and corporate in-person courses.

In the fast-paced business environment, Python skills offer significant advantages. Python is a versatile, intuitive language perfect for data science, web development, software engineering and more. Its popularity among developers stems from its readability and expressiveness, making our Python online class easy to grasp. Python coding training gives you the ability to automate mundane tasks and dedicate more time to complex assignments.

Engaging in our online Python class not only simplifies data work but also speeds up data analysis and visualization. Python gives you access to comprehensive libraries and frameworks, streamlining development. Investing in our Python course with certificate can set you apart in the job market, creating more opportunities for career advancement.

Professional expansion through the best Python training online is a strategic move for professionals seeking to increase their market value. Python's versatile capabilities are indispensable in a modern workplace. Python certification courses can automate regular workflows, making them more efficient, and reducing time spent on repetitive tasks. Those proficient in Python from participating in our online Python course can handle data quicker than those lacking similar expertise, giving them a competitive advantage.

Python is a superb language for web application development, supporting businesses in creating potent programs rapidly. Taking an online Python training and obtaining a Python certificate course with Certstaffix Training can be a valuable resource in any business environment. It's becoming crucial by the day to engage in Python online training or attend a Python class near me to keep up with current industry trends.

How Can I Learn Python and Get Certified?

A: As one of the most ubiquitous and dynamic programming languages today, Python has inspired countless employees to learn to code. Novices can familiarize themselves with Python through self-instruction, enrolling in college, or signing up for training courses offered by private companies. Regardless of the educational resource chosen, students should commit at least 100 hours to programming practice before attempting certification exams. The particular courses that a student should sign up for can depend on their skill level, current or future professional duties, and whether they want to obtain a certification.

More Information on How to Learn Python and Get Certified

Is Python hard to learn?

A: Python is not a particularly difficult language to learn. In fact, many people find it much easier to pick up than other languages. The reason for this is that Python is designed to be very intuitive and easy to read. However, like any language, it does take some time and effort to master. The best way to learn Python is to attend a training course or class from a reputable provider. This will give you the chance to get hands-on experience with the language and also receive expert guidance from an experienced instructor.

Python training classes from Certstaffix Training are a great option for those looking to learn Python. Our courses are designed to give you the skills and knowledge you need to be successful with the language. Contact us today to find out more about our Python training courses.

How many days it will take to learn Python?

A: Python is a versatile language that you can use on the backend, frontend, or full stack of a web application. You can also use Python for data science and machine learning. The sky is the limit with what you can do with Python.

The answer to how long it will take you to learn python really depends on your level of experience and expertise with coding languages. If you are starting from scratch, it will obviously take longer than if you already have experience in coding.

You can learn Python in a few days with a formal training course or several weeks with online self-learning tutorials. Either way, continued practice after initial learning is key to grow and maintain your Python skills.

That being said, our Python classes at Certstaffix Training are designed to get you up to speed as quickly as possible. Our expert instructors will guide you through each concept, providing plenty of opportunity for practice and hands-on learning. Our Introduction to Python course is 4 days in length and is intended for those brand new to Python or with just some experience.

How do I start programming Python?

A: If you're interested in learning Python, there are a few different options available to you. You can take classes online or in-person, and there are even some free resources available if you want to learn on your own.

The best way to learn Python will depend on your learning style and goals. If you're looking for a more structured learning experience, taking classes is probably the best option. On the other hand, if you're the type of person who likes to learn at their own pace, there are plenty of resources available online that can help you get started with python programming.

No matter what route you decide to take, starting off with some basic python tutorials is always a good idea. This will help you get a feel for the syntax and structure of the language before you start diving into more complex topics. Once you have a solid understanding of the basics, you can then start exploring python's many powerful features.

If you're ready to get started learning Python, there are plenty of great resources available to help you on your journey. Just remember to take things at your own pace, and don't be afraid to ask for help when you need it. With a little bit of effort, you'll be writing python code in no time.

Certstaffix Training offers Python eLearning and live instructor-led classes. Browse our Python training courses or contact us today to learn more.

What are options to learn Python?

Learning a new programming language can be challenging, but it also opens up a world of possibilities and opportunities. Among the many languages available, Python stands out as one of the most versatile and widely used ones. Whether you are looking for in person classes or online training options, there is no shortage of options for a Python programming course near me.

In today's fast-paced business world, having a strong understanding of Python is practically essential. As such, it is crucial to find the best Python instructor led training available near me or online. This will ensure that you receive the highest quality education and are able to fully grasp the intricacies of this powerful language.

But why limit yourself to just in person Python classes near me? With the rise of online learning platforms, it is now easier than ever to learn Python from the comfort of your own home. And with the vast array of resources available, there is no shortage of options when it comes to finding a course that fits your needs and schedule. Certstaffix Training offers both in person Python classes for corporate groups at offices or online corporate Python training for individuals.

In-person Python training near me offers the added benefit of face-to-face interaction with an experienced instructor. Certstaffix Training offers in person Python training at your office when you have a corporate group. This allows for a more personalized learning experience and the opportunity to ask questions and receive immediate feedback. Being surrounded by like-minded individuals can enhance your understanding of Python programming and provide a supportive environment for learning.

Corporate Python training is also becoming increasingly popular as companies recognize the value of having employees with strong programming skills. Whether it's for data analysis, automation, or web development, knowledge of Python can greatly benefit an organization. With Python programming classes near me and training readily available, companies can invest in their employees' development and future-proof their business.

So, how much does it cost to learn Python classes near me? The answer varies depending on the training option you choose. Certstaffix public instructor led Python training course prices start at $2,025 per student, with group training discounts available. Self-Paced Python eLearning courses cost $400 at the starting point per student, with group purchase discounts available. The investment to learn Python near me is well worth it, as it can open doors to lucrative career opportunities and help you excel in your current role.

Don't limit yourself by searching for just "python programming near me." Expand your options and consider in person Python training, online training (live or self-paced), or corporate courses (held at your office). With dedication and a passion for learning, you will soon find yourself proficient in Python and ready to take on any challenge. Let Python be your gateway to success.

So, why wait? Start your journey towards mastering this powerful language today! With so many options near you, there's no excuse not to learn Python and unlock endless possibilities for your career? Register today.

What are the top Python skills?

A: Python is a versatile language that you can use for a wide variety of tasks. Whether you're a web developer, data analyst, artificial intelligence engineer, or anything in between, there's a good chance that Python can help you get the job done.

But what are the most important Python skills to have? Here are five of the most important Python skills that you should focus on honing:

Top Python Skills

1. Web Development - If you want to be a web developer, then you need to know how to use Python. Python is a popular language for web development, thanks to its ease of use and robust libraries. With Python, you can create everything from simple websites to complex web applications.

2. Data Analysis - Python is also a great language for data analysis. With its powerful libraries, Python makes it easy to work with large datasets and perform complex statistical analyses. If you want to be a data analyst, then you need to be proficient in Python.

3. Artificial Intelligence - Artificial intelligence is one of the hottest fields in tech right now, and Python is a great language for AI development. Python's libraries make it easy to work with data and build complex algorithms. If you want to be an AI engineer, then you need to know Python.

4. Scripting - Python is also a great language for scripting. With Python, you can automate tasks and create small programs to make your life easier. If you're a sysadmin or developer, then you need to know how to use Python for scripting.

5. Machine Learning - Machine learning is another hot area in tech, and Python is one of the best languages for machine learning development. With its powerful libraries and ease of use, Python makes it easy to build complex machine learning models. If you want to be a machine learning engineer, then you need to know Python.

These are just five of the most important Python skills that you should focus on honing. If you want to be a successful Python programmer, then you need to be proficient in all of these areas. So start learning Python today and master these essential skills.