توقع حضور المواعيد الطبية باستخدام Python from Coursera

What's inside

Syllabus

Project Overview

في نهاية المشروع ده هتقدر تصمم model ذكاء صناعي عشان يتوقع المريض هيجي المعاد إلي كان محدد ولا لا باستخدام Python و Jupyter Notebook. خلال المشروع هنمشى مع بعض خطوة بخطوة عشان نقدر نحلل البيانات إلي هتكون معنا من website Kaggle.com الdata دي هتكون عن مرضى في البرازيل.و هنقدر نحدد ازاي الmachine learning engineer بيختار الmachine learning model بتاعو. و ازاي اقدر استعمل ال-machine learning model بتاعي ده عشان اتوقع هل المريض ده هيجي ولا لا. المشروع ده هيفيد الناس المهتمة بمجال الdata science. و هندخل في الخطوات إلي المفروض الdata scientist يتبعها في المشروع بتاعو عشان يقدر يوصل للمطلوب بدايةً من ال-data preprocessing مروراً بال-data analytics و ال-exploratoray data analysis و في الأخر هنطبق machine learning model على ال-data بتاعتنا. المشروع ده هيكون في مستوى متوسط. طبعا python هي من أشهر لغات البرمجة و jupyter notebook هو application مشهور جداً باستعملو في مشاريع ال-data science و ال-machine learning.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Helps learners understand how an AI model can be used to predict patient no-shows in healthcare

Develops proficiency using Python and Jupyter Notebook

Utilizes real-world data from Kaggle.com to provide practical experience

Suitable for individuals interested in data science who want to enhance their skills

Requires no prior experience in data science, making it accessible to beginners

Guides learners through the process of data preprocessing, analytics, and model development

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 توقع حضور المواعيد الطبية باستخدام Python with these activities:

تدريب على Jupyter Notebook

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يُعد Jupyter Notebook أداة شائعة في مجال علوم البيانات، لذلك ستساعدك الممارسة على الإعداد للعمل مع البيانات في هذا المشروع.

Browse courses on Jupyter Notebook

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استكشاف واجهة Jupyter Notebook وإنشاء دفتر ملاحظات جديد
تحميل واستيراد مجموعة بيانات بسيطة وتحليلها
تصور البيانات باستخدام الرسوم البيانية الأساسية
حفظ دفتر الملاحظات ومشاركته مع الآخرين

ممارسة حيل التلاعب بالبيانات

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تتطلب علوم البيانات تلاعبًا كبيرًا بالبيانات. ستساعدك هذه التمارين على تحسين مهاراتك الأساسية في التلاعب بالبيانات باستخدام حزم مثل Pandas.

Browse courses on Python

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تنظيف البيانات: التعامل مع القيم المفقودة والقيم المتطرفة
تحويل البيانات: إنشاء متغيرات جديدة وتعديل البيانات الحالية
دمج البيانات: ربط مجموعات البيانات المتعددة معًا

متابعة دروس حول اختيار نموذج التعلم الآلي

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يعد اختيار نموذج التعلم الآلي المناسب أمرًا مهمًا لنجاح مشروعك. ستوفر لك هذه الدروس نظرة شاملة حول عملية الاختيار.

Browse courses on scikit-learn

Show steps

استكشاف أنواع مختلفة من نماذج التعلم الآلي
تقييم نماذج التعلم الآلي باستخدام مقاييس التقييم
استخدام مكتبات مثل Scikit-learn لتدريب وتقييم النماذج

One other activity

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المشاركة في مسابقة تعلم الآلي

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توفر المسابقات فرصة لتطبيق مهاراتك في تعلم الآلي وحل مشاكل العالم الحقيقي.

Show steps

البحث عن مسابقات تعلم الآلي ذات الصلة باهتماماتك
تشكيل فريق أو العمل بشكل فردي على مشروع
مشاركة النتائج والتنافس مع الآخرين

Career center

Learners who complete توقع حضور المواعيد الطبية باستخدام Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists analyze large datasets to help businesses make wiser decisions. The course _Predicting Patient Appointment Attendance Using Python_ can help you build a strong foundation in data analysis, machine learning, and Python programming, all of which are essential skills for Data Scientists. The course will also introduce you to the tools and techniques used by Data Scientists, such as Jupyter Notebook and Kaggle.com.

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Machine Learning Engineer

Machine Learning Engineers design and build machine learning models to solve business problems. The course _Predicting Patient Appointment Attendance Using Python_ can help you build the skills you need to become a Machine Learning Engineer, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Machine Learning Engineers, such as Jupyter Notebook and Kaggle.com.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make wiser decisions. The course _Predicting Patient Appointment Attendance Using Python_ provides a strong foundation in data analysis, machine learning, and Python programming, all of which are essential skills for Data Analysts. The course will also introduce you to the tools and techniques used by Data Analysts, such as Jupyter Notebook and Kaggle.com.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to help businesses make better decisions. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Business Analyst, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Business Analysts, such as Jupyter Notebook and Kaggle.com.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses make wiser decisions. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Statistician, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Statisticians, such as Jupyter Notebook and Kaggle.com.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software applications. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Software Engineer, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Software Engineers, such as Jupyter Notebook and Kaggle.com.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines to help businesses collect, clean, and analyze data. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Data Engineer, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Data Engineers, such as Jupyter Notebook and Kaggle.com.

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Health Informatics Specialist

Health Informatics Specialists use data to improve the quality of healthcare. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Health Informatics Specialist, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Health Informatics Specialists, such as Jupyter Notebook and Kaggle.com.

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Financial Analyst

Financial Analysts use data to help businesses make wise financial decisions. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Financial Analyst, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Financial Analysts, such as Jupyter Notebook and Kaggle.com.

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Market Research Analyst

Market Research Analysts use data to help businesses understand their customers and make better marketing decisions. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become a Market Research Analyst, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Market Research Analysts, such as Jupyter Notebook and Kaggle.com.

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Actuary

Actuaries use data to assess risk and uncertainty. The course _Predicting Patient Appointment Attendance Using Python_ can provide you with the skills you need to become an Actuary, including data analysis, machine learning, and Python programming. The course will also introduce you to the tools and techniques used by Actuaries, such as Jupyter Notebook and Kaggle.com.

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Epidemiologist

Epidemiologists use data to investigate the causes of disease and promote public health. The course _Predicting Patient Appointment Attendance Using Python_ may provide you with some of the skills you need to become an Epidemiologist, including data analysis and Python programming. However, the course does not cover epidemiology-specific topics such as disease surveillance and outbreak investigation.

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Biostatistician

Biostatisticians use data to design and analyze studies in the health sciences. The course _Predicting Patient Appointment Attendance Using Python_ may provide you with some of the skills you need to become a Biostatistician, including data analysis and Python programming. However, the course does not cover biostatistics-specific topics such as clinical trial design and analysis.

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Data Visualization Specialist

Data Visualization Specialists use data to create visual representations that help people understand data. The course _Predicting Patient Appointment Attendance Using Python_ may provide you with some of the skills you need to become a Data Visualization Specialist, including data analysis and Python programming. However, the course does not cover data visualization-specific topics such as graphic design and user experience.

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Database Administrator

Database Administrators design, build, and maintain databases. The course _Predicting Patient Appointment Attendance Using Python_ does not cover database administration-specific topics such as database design and optimization.

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