Master feature engineering for machine learning with a practical, hands-on approach, applying techniques from basic feature creation to PCA, imputation, encoding, regularization, and cross-validation using Python code.
Adım Adım Özellik Mühendisliği: ML Veri Hazırlık
Eksik Veriler, Ölçekleme, Özellik Çıkarma, Seçim, Gelişmiş Teknikler ve Otomatik Özellik Mühendisliği
সকল স্তর • 22 বক্তৃতা • আজীবন অ্যাক্সেস
যাচাইকৃত মাস্টার প্রশিক্ষক
ট্রেলার
আপনার প্রশিক্ষকের সাথে দেখা করুন: Dr. Amar Massoud
19 ms
5.0 / 5.0
গ্লোবাল রেটিং1
সক্রিয় ছাত্রইংরেজি (মার্কিন যুক্তরাষ্ট্র)
99টি ভাষার সাবটাইটেল1 ঘণ্টা 37 মি.
মোট বিষয়বস্তুযা শিখবেন
Model doğruluğunu artırmak için özellik mühendisliği tekniklerini anlayın ve uygulayın. Önyargıyı belirleyin ve azaltın, adil ve etik özellik seçimini sağlayın. FeatureTools gibi kütüphanelerle otomatik özellik mühendisliği uygulayın. Üretkenlik ve işbirliği için özellik sürümlerini takip edin ve belgeleyin.
কোর্সের বিষয়বস্তু
10 বিভাগ • 22 বক্তৃতা • 01:37:25 মোট দৈর্ঘ্যHandling Missing Data
09:03
Learn strategies to handle missing data, from mean, median, and mode imputation to modeling-based approaches like KNN and regression. Apply these to numerical and categorical features, including frequent category imputation.
Feature Transformation
01:57
Explore feature transformation techniques for machine learning, including scaling, normalization, log and power transformations, binning, and one hot encoding for categorical data.
Scaling and Normalization
05:40
Learn to scale and normalize features using standardization to zero mean and unit variance or min-max normalization to 0–1, improving model training on housing data.
Log Transformation, Power Transformation
05:16
Binning Numerical Variables
03:36
One-Hot Encoding vs. Label Encoding
04:07
Compare one-hot encoding and label encoding for transforming categorical data into numerical features, weighing dimensionality against potential ordinal assumptions in different datasets.
সাপ্তাহিক অধ্যয়ন পরিকল্পনা
আপনার শেখার যাত্রা পরিকল্পনা করুন
AI আপনার সময় অনুযায়ী ব্যক্তিগত সময়সূচী তৈরি করে5 ঘন্টা/সপ্তাহ
প্রয়োজনীয়তা
Python ve makine öğrenimi kavramlarına ilişkin temel anlayış. Pandas ve Scikit-learn ile tanışıklık. Veri setleriyle çalışma konusunda temel deneyim önerilir. İleri düzey özellik mühendisliği deneyimi gerekmez.
লক্ষ্য শ্রোতা
Data science enthusiasts looking to deepen their skills in feature engineering.
Beginner and intermediate data scientists aiming to improve model performance.
Machine learning practitioners who want practical, hands-on experience.
Developers interested in ethical AI and responsible data practices.
এই কোর্স সম্পর্কে
Makine öğrenme modellerinizin tam potansiyelini, özellik mühendisliği üzerine kapsamlı kursumuzla ortaya çıkarın. Veri bilimi meraklıları, makine öğrenimi uygulayıcıları ve geliştiriciler için tasarlanan bu kurs, modelinizin performansını, doğruluğunu ve yorumlanabilirliğini artıracak temel ve gelişmiş özellik mühendisliği tekniklerini kapsar.
Eksik verilerin ele alınmasından ve özelliklerin dönüştürülmesinden, FeatureTools gibi kütüphanelerle otomatik özellik mühendisliğine kadar, güçlü ve alakalı özellikler oluşturma becerilerini öğreneceksiniz. Ölçekleme, normalizasyon, one-hot kodlama ve özellik çıkarma gibi temel teknikleri keşfedin. Polinom ve etkileşim özelliklerinin daha derin kalıpları ortaya çıkarmak için ne zaman uygulanacağını öğrenin ve zaman serisi verileri için zaman temelli özelliklerden yararlanın. Bu kurs aynı zamanda önemli etik konuları tanıtarak, özelliklerinizde önyargıyı nasıl önleyeceğinizi, adaleti nasıl sağlayacağınızı ve yorumlanabilirliği nasıl artıracağınızı gösterir.
Elde edilen örnekler, tutarlı bir gerçek dünya kullanım durumu ve her yöntem için Python kodu ile pratik deneyim kazanacaksınız. Ayrıca, özelliklerinizin düzenli ve tekrarlanabilir olmasını sağlamak için en iyi belgeleme ve sürüm kontrol uygulamalarını öğreneceksiniz. Son olarak, sürekli öğrenme ve yineleme teknikleri ile, verilerin değişmesiyle birlikte modellerinizi güncel ve etkili tutmaya hazır olacaksınız.
İster özellik mühendisliği becerilerinizi geliştirmek ister iş akışınızı otomatikleştirmek istiyor olun, bu kurs size yüksek performanslı, etik modeller oluşturmak için bilgi ve araçlar sağlar. Bugün kaydolun ve makine öğrenimi özellik mühendisliğinde ustalaşma yolunda bir adım atın!
ক্যারিয়ারের সুযোগ এবং লক্ষ্যযুক্ত কাজের পদ
ব্যবহারিক এবং কর্মোপযোগী দক্ষতা অর্জন করুন এবং বিশ্বব্যাপী শীর্ষস্থানীয় পদের জন্য আবেদন করুন
কাজের জন্য প্রস্তুত পাঠ্যক্রম
যেসব পদে আপনি আবেদন করতে পারেন
AI Solutions Engineer
Data Science Consultant
Machine Learning Practitioner
AI Workflow & Automation Specialist
আনুমানিক বার্ষিক বেতন
$105,000 – $165,000 / yr
বিশ্বব্যাপী শিল্পের চাহিদা
Fastest Growing Worldwide (#1)
যেসব মূল দক্ষতায় আপনি পারদর্শী হবেন* আনুমানিক তথ্য বিশ্বব্যাপী টেক নিয়োগের মানদণ্ড এবং বেতন প্রতিবেদনের উপর ভিত্তি করে।
Model Fine-Tuning & Evaluation
Data Pipelines & Vector Analysis
Applied Generative AI Architecture
Predictive Analytics & Deployment
আপনার প্রশিক্ষকের সাথে পরিচিত হন
Dr. Amar Massoud
প্রধান প্রশিক্ষক
PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as :
ITIL 4 Master, ITIL 3 Expert
ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA
PGMP, MSP
PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master
COBIT 2019 Implementor, COBIT 5 Assessor/Implementer
TOGAF certified
Lean Specialist, VSM Specialist
PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor
PMI-PBA, CBAP
Lean Six Sigma Black Belt, ISO 9001 Implementer
Azure Administrator, Azure DevOps Expert, AWS Practitioner
And many more....
শিক্ষার্থীরাও কিনেছে
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প্রায়শই জিজ্ঞাসিত প্রশ্নাবলী
এই কোর্স সম্পর্কে সবচেয়ে সাধারণ প্রশ্নের উত্তর খুঁজুন।
হ্যাঁ! কোর্স লেকচার এবং অ্যাসাইনমেন্টের 100% সম্পূর্ণ করার পরে, আপনি সরাসরি আপনার লুসেব্রা প্রোফাইল থেকে আপনার যাচাইকৃত ডিজিটাল সার্টিফিকেট অফ কমপ্লিশন ডাউনলোড করতে পারেন।
পদ্ধতি-এ আরও অন্বেষণ করুন
স্বীকৃত সার্টিফিকেট, সম্পর্কিত ই-বুক এবং লাইভ ক্লাসের মাধ্যমে আপনার শেখার পরিধি বাড়ান।