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Python for Machine Learning

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How Is Python Used in Machine Learning?

Python is a popular programming language to use in machine learning that offers developers of all skill sets exceptional versatility and power. It can be used to develop a variety of applications, integrates well with other software, and its simple syntax makes it a good choice for coding algorithms and collaborating across teams. Python also has a huge number of libraries and frameworks that are very good for machine learning (such as Scikit-Learn), which handle basic machine learning algorithms.

 

Is Python Good for Machine Learning?

Python is the best choice for building machine learning models due to its ease of use, extensive framework library, flexibility and more.

Python brings an exceptional amount of power and versatility to machine learning environments. The language’s simple syntax simplifies data validation and streamlines the scraping, processing, refining, cleaning, arranging and analyzing processes, thereby making collaboration with other programmers less of an obstacle. Python also offers a vast ecosystem of libraries that take much of the monotonous routine function writing tasks out of the equation to free developers up to focus on code and reduces the chances for error when programming. 

Python also offers a great deal of flexibility and we pair it with other programming languages to complete a machine learning model. Python can also run on any operating system, from Windows to macOS, Linux, Unix and more. Perhaps most importantly, Python is easy to read, beloved by a huge community of developers (who also contribute to the development of new packages that facilitate machine learning) and continues to gain in popularity. In short, Python’s online community makes it easy to find answers and resources when building or troubleshooting machine learning models.

Python Machine Learning Tutorial. | Video: Programming With Mosh

 

Is Machine Learning With Python Hard?

Using Python allows beginners to utilize a simplified programming language while learning the fundamentals of machine learning.

Python is the most simplified programming language in terms of its syntax and ease of understanding, making it the most common choice for those who have just started learning about programming or are learning how to apply their Python knowledge to machine learning.

In order to begin creating machine learning models using Python, it is crucial to understand the different data types, like integers, strings and floating point numbers, as well as statistical fundamentals, how to source data and more.

Understanding how to clean and structure your data is also necessary in order to create input data to be fed into a machine learning model. Users should know how to access different Python libraries and how to choose the right library to create machine learning models. Lastly, users must know how to create and utilize algorithms in Python in order to build the model itself.

Building machine learning models may be difficult in itself but using Python frameworks, such as Scikit-Learn, simplifies the process by doing much of the heavy lifting and requiring only that data is provided to function, which allows developers to focus on functionality and trained accuracy of models.

How Do I Start Learning Python for Machine Learning?

There are many ways to begin learning Python for machine learning, including hands-on experiences, courses, Built In tutorials and college education.

In order to begin using Python in a machine learning context, it is first important to understand the fundamentals of both the programming language and data. Data types, loops, conditional statements, data manipulation, algorithms, libraries like Pandas, NumPy, Scikit-Learn and Matplotlib will all come into play when learning to use Python for machine learning. You’ll need a working knowledge of all of these concepts. Additionally, having a solid development environment, such as Jupyter Notebook, is crucial to staying organized when building machine learning models.

Related Reading From Built In ExpertsHow to Enable Jupyter Notebook Notifications

Beyond simply learning how to code with Python, there are several options for learning how to apply your Python knowledge to machine learning. Hands-on experience working with software such as TensorFlow or other data-focused environments can allow beginners the opportunity to experiment with their background knowledge and learn proper machine learning programming processes through trial-and-error. To gain even more practical knowledge and add efficiency to workflows, enrolling in a professional development course from Built In can provide developers with a wealth of knowledge that will help them enhance their machine learning models in specific ways. Finally, the most robust way to learn Python for machine learning is by earning a bachelor’s degree in computer science, data science or a related field from an accredited university.

Courses

Expand Your Python for Machine Learning Career Opportunities

Learn machine learning with Python and other key skills through one of Udemy’s top-rated data science courses.

Udemy

Topic:

Apache Spark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!

 

What you'll learn:

  • Use DataFrames and…

4.6
(11924)
Udemy

Topic:

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

 

What you'll learn:

  • Master critical data…

4.7
(5809)
Udemy

Topic:

Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

 

What you'll learn:

  • Learn complete…

4.6
(419)
Udemy

Topic:

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

 

What you'll learn:

  • Master Machine Learning on…

4.5
(154979)
Certifications

Python for Machine Learning Certifications + Programs

Grow your career’s potential by earning a data science certification from Udacity.

Whether you have coded before or are brand new to the world of programming, this course will put you on the fast track to building confidence with this intuitive, object- oriented language. Learn programming fundamentals and build a custom application. Graduate with the ability to start applying Python within high-growth fields like analytics, data science, and web development. 

 

What you'll accomplish

This is a beginner-friendly program with no prerequisites, although some students may have coded previously. First-time programmers will have access to pre-course preparatory lessons and additional resources to boost their confidence with key concepts and set up their development environments. Throughout this expert-designed program, you’ll:

  • Learn object-oriented programming fundamentals and Python basics that get you coding from day one.
  • Build a Python program and add on increased complexity throughout the course.
  • Troubleshoot Python code and practice common debugging techniques.
  • Push your skills to the next level by adding scripting, modules, and APIs to your Python toolkit.
  • Explore introductory data science and web development as potential career directions for Python programmers.
  • Demonstrate your Python skills by creating apps that pull in data with Pandas or integrate functionality from APIs with Flask.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Science part-time course is a practical introduction to the interdisciplinary field of data science and machine learning, which lies at the intersection of computer science, statistics, and business. You will learn to use the Python programming language to acquire, parse, and model data for informing business strategy. 

This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics. There is an option to complete up to 25 hours of online preparatory lessons. Talk to the General Assembly Admissions team to discuss your background and confirm if this is the right fit for you..

 

What you'll accomplish

A significant portion of the course is a hands- on approach to fundamental modeling techniques and machine learning algorithms. You’ll also practice communicating your results and insights by compiling technical documentation and a stakeholder presentation. Throughout this expert-designed program, you’ll:

  • Perform exploratory data analysis with Python.
  • Build and refine machine learning models to predict patterns
  • from data sets.
  • Communicate data-driven insights to technical and non-technical audiences alike.
  • Apply what you’ve learned to create a portfolio project: a predictive model that addresses a real-world data problem.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months. 

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

  • Collect, extract, query, clean, and aggregate data for analysis.
  • Gather, store and organize data using SQL and Git.
  • Perform visual and statistical analysis on data using Python and its associated libraries and tools.
  • Craft and share compelling narratives through data visualization.
  • Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
  • Compile clear stakeholder reports to communicate the nuances of your analyses.
  • Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
  • Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly
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