تطبيق بعض الأكواد لتعلم الالة وعمل تقرير

الذكاء الاصطناعي برمجة كتابة التقارير الذكاء الاصطناعي برمجة كتابة التقارير

تعلم الالة اختيار قاعدة بيانات وتطبيق بعض الاكواد الاساسية في قوقل كولاب وبعض اكواد معالجة قواعد البيانات وتدريب القاعدة . ثم كتابة تقرير بالورد يحتوى على التالي : 1. Project Report Content a) Project Title Each project should have a clear title summarizing the project’s objective. b) Project Overview Objective: Briefly describe the objective of the project and the problem you aim to solve using ML. Expected Outcomes: Specify the results you hope to achieve. This section serves to contextualize the significance of your work. c) Dataset Dataset Source: Use publicly available datasets, such as those from Kaggle or the UCI Machine Learning Repository. Description: Briefly describe the content of your dataset (size, variables, data types). Data Preparation: Explore and clean your dataset. Describe the preprocessing techniques applied (handling missing values, normalization, etc.) and visualize relevant descriptive statistics. d) Model Selection and Training Model Choice: Select one or more ML algorithms covered in class (and possibly other relevant methods). Training: Apply these models on the training dataset after splitting the data into training and test sets. e) Model Evaluation and Testing Evaluation: Test your model on the test dataset and use appropriate metrics (accuracy, recall, F1-score, etc.) to evaluate its performance. Result Analysis: Interpret the results obtained, identifying the model’s strengths and limitations. f) Discussion Key Findings: Analyze the main results and what they reveal about the model and the problem studied. g) Conclusion Summary: Conclude by summarizing the project, the challenges encountered, the lessons learned, and the impact of the model on the problem addressed. * التسليم النهائي ملف ورد تقرير يحتوى جميع النقاط +ملف اكواد لقوقل كولاب