تحميل Data Science from zero

Programming
2022-04-11

روابط التحميل

لمشاهدة الكورس مباشر بدون تحميل اضغط هنا

عدد الدروس 20

قسم Programming

يوجد صيانة لقسم تحميل الدورات لذلك يمكنك مشاهدة الدورة بشكل مباشر من هنا بدلا من التحميل لحين الانتهاء من صيانة القسم

• Class 1 Data Science Training | What Is Data Science Introduction To Data Science | Edureka

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• Class 2 Data Science Training | Who Is A Data Scientist Roles Responsibilities | Edureka

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• Class 3 Data Science Training | Supervised Machine Learning Tutorial Linear Regression | Edureka

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• Class 4 Data Science Training | Logistic Regression Tutorial For Beginners | Edureka

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• Clas 5 Data Science Training | Decision Tree Classifier Explained | Edureka

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• Class 6 Data Science Training | Random Forest Classifier Tutorial For Beginners | Edureka

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• Class 7 Data Science Training | K Nearest Neighbors KNN Algorithm Tutorial | Edureka

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• Class 8 Data Science Training | K Means Clustering Algorithm Tutorial For Beginners | Edureka

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• Class 9 Data Science Training | Time Series Analysis Tutorial For Beginners | Edureka

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• Class 10 Data Science Training | Reinforcement Learning Tutorial For Beginners | Edureka

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• Classification in Machine Learning | Machine Learning Tutorial | Python Training | Edureka

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• The Future of AI | How will Artificial Intelligence Change the World in 2020 | Edureka

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• What is Cognitive AI Cognitive Computing vs Artificial Intelligence | AI Tutorial | Edureka

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• Statistics and Probability for Data Science | Data Science | Edureka | ML DS Rewind 1

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• How to become Data Scientist | Data Scientist Roadmap | Data Science Training | Edureka

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• Gradient Descent Machine Learning | Gradient Descent Algorithm | Stochastic Gradient Descent Edureka

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• Hierarchical Clustering | Agglomerative and Divisive Hierarchical Clustering Explained | Edureka

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• Confusion Matrix in Machine Learning | Binary and Multiclass Classification Examples | Edureka

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• Random Forest Algorithm | Random Forest Complete Explanation | Data Science Training | Edureka

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• Feature selection in Machine Learning | Feature Selection Techniques with Examples | Edureka

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