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Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory

This project is for anyone with foundation in programming and machine learning who wants to develop Data science and Machine learning projects but having limited resources on their computer and limited time. You will learn how to use the Google Colaboratory via your web browser to develop a Fake and Real News Detection Data Science Project. You will start by learning how to launch Google Colaboratory from your web browser then create runtime environment for your project, create a python notebook to house the project, understand the project design, learn how to import your training data into Google Colaboratory, develop the project,...

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This course is tailored for individuals with a background in programming and machine learning who aspire to develop projects but face constraints in terms of computing resources and time constraints

Utilizes Google Colaboratory as the platform for project development, enabling learners to access cloud-based computational resources

Focuses on developing a practical project in fake news detection, providing learners with hands-on experience in a real-world application

Provides step-by-step guidance throughout the project development process, from data import to model evaluation

Teaches essential skills for deploying machine learning models in real-world applications

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Reviews summary

Beginner-friendly data science with google colaboratory

This course is a great introduction to using Google Colaboratory for data science projects. It's well-structured and easy to follow, and the hands-on approach helps you learn by doing. The course covers all the essential steps of a data science project, from data import and cleaning to model training and evaluation.

Course is beginner-friendly.

Course is practical and hands-on.

"...Well-structured and easy to follow, and the hands-on approach helps you learn by doing..."

Code explanations are not provided at many places.

"...Code explanations are not provided at many places. This can be imporved..."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory with these activities:

Machine Learning for Beginners

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Read a beginner-friendly book on machine learning to build a solid foundation for the course.

View Probabilistic Machine Learning: Advanced Topics... on Amazon

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Purchase or borrow the book
Read the book thoroughly
Take notes and highlight important concepts

Google Colab Tutorial

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Follow a guided tutorial to learn the basics of Google Colab, the platform you will use for your project.

Browse courses on Google Colab

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Find a reputable tutorial online
Follow the教程steps carefully
Practice using Google Colab on your own

Study Group Discussions

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Join or start a study group to discuss course concepts, share insights, and support each other's learning.

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Find or form a study group with classmates
Set regular meeting times
Discuss course materials, ask questions, and share resources

Four other activities

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Data Preprocessing Drills

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Complete practice drills to improve your skills in data preprocessing, a crucial step in machine learning projects.

Browse courses on Data Preprocessing

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Find a resource with data preprocessing drills
Complete the drills regularly
Review your results and identify areas for improvement

Data Science Glossary

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Create a glossary of data science terms to enhance your understanding and retention of key concepts.

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Compile a list of data science terms
Define each term clearly and concisely
Organize the glossary alphabetically or by topic

Data Science Workshop

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Attend a workshop to gain hands-on experience with data science tools and techniques.

Browse courses on Data Science

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Find a relevant workshop in your area
Register for the workshop
Attend the workshop and actively participate

Fake News Detection Model

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Develop a machine learning model to detect fake news, putting into practice the skills you learn in the course.

Browse courses on Fake News Detection

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Gather a dataset of fake and real news articles
Build a machine learning model using the dataset
Evaluate the performance of your model
Deploy your model as a web application or API

Career center

Learners who complete Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. This course can help Data Scientists develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Data Scientists can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models. This course can help Machine Learning Engineers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Machine Learning Engineers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course can help Software Engineers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Software Engineers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can help Data Analysts develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Data Analysts can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to solve business problems. This course can help Business Analysts develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Business Analysts can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. This course can help Product Managers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Product Managers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Product Manager

Market Researcher

Market Researchers collect and analyze data to understand consumer behavior. This course can help Market Researchers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Market Researchers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Market Researcher

Statistician

Statisticians collect, analyze, and interpret data. This course can help Statisticians develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Statisticians can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Statistician

Database Administrator

Database Administrators manage and maintain databases. This course can help Database Administrators develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Database Administrators can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers design and build data pipelines. This course can help Data Engineers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Data Engineers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help Quantitative Analysts develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Quantitative Analysts can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Quantitative Analyst

Web Developer

Web Developers design and develop websites. This course can help Web Developers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Web Developers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Web Developer

Computer Scientist

Computer Scientists research and develop new computer technologies. This course can help Computer Scientists develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Computer Scientists can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Computer Scientist

Software Developer

Software Developers design, develop, and test software applications. This course can help Software Developers develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Software Developers can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Software Developer

Data Visualization Specialist

Data Visualization Specialists create visual representations of data. This course can help Data Visualization Specialists develop the skills they need to use Google Colaboratory to develop and deploy machine learning models. By learning how to use Google Colaboratory, Data Visualization Specialists can save time and resources, and focus on developing models that can solve real-world problems.

See salaries and explore the career path for Data Visualization Specialist

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory.

The Elements of Statistical Learning

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Classic textbook on statistical learning, covering a wide range of topics from supervised and unsupervised learning to model selection and regularization.

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Kindle Edition

$$$