data engineering for algorithms and giving report

Hello! I have extensive experience in Python, Machine Learning, and Data Mining. For this project, I can apply feature engineering techniques to the dataset to create better models for ddos detection. I will ensure accurate delivery of the project and make sure that the five models give different answers after feature engineering. In the end, I will compare all three models in an English report, evaluating and explaining the reasons for their varying performance. I understand the importance of the performance report and will complete it within a day while staying within the budget of $15. Please feel free to chat with me regarding any queries about the project. Looking forward to working with you! Arbaz A

✔️I am a Gold Award Winner at University Challenges, Codeforces and ACM✔️ I am really interested in your project . I have just read your detail carefully and I have understood what you want exactly. I have 8+ years experience doing similar jobs related to these skills Python, C++ programming, AI and ML. I can complete this project perfectly on time and a low cost. Looking for your reply. Best regards.

Hi, there, How are you ? I have read your project details and after reading description, I quickly realized your requirements precisely. I am an expert in Python and mathematics I have a lot of experiences in Python ML projects. I can help you well with reasonable budget and High quality. Please message me to discuss your task. Thank you.

Hi, I understand that you have five Python-based models for DDoS detection that all produce the same output for the given dataset. You want me to do feature engineering or feature importance on the dataset to make these five models give different outputs. Furthermore, you require a report in English comparing all five models based on their performance, evaluation, and reasons for why one model is better or worse than the others. As a data scientist, I have experience working with various machine learning models and can help you achieve your objectives. However, I must note that feature engineering and feature importance are not guaranteed to produce different outputs for these five models. Nonetheless, I am willing to take on the project and do my best to provide you with a satisfactory outcome. Regarding your budget, I understand that you have a tight deadline and limited funds. Therefore, I can offer my services for $15. However, I must note that the project may require more time and resources to produce quality results. If you're willing to discuss a slightly higher budget, we can work together to develop a more comprehensive solution. Please let me know if you have any questions or if you'd like to proceed with the project. I look forward to hearing back from you.

Hello melikaknght, I am a youthful and passionate developer so I will always do my best for you and your project. I will work till you are satisfied 100%. I am an expert in Python, Machine Learning (ML), Data Mining who has strong experience over 6 years. Please come over chat and discuss your requirement in a detailed way. Thank You

Hhi I am experienced in this and I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your replyyy

Hello, I have experience in data science and machine learning, and I'm interested in your project on DDoS detection using Python. I propose to perform exploratory data analysis, feature engineering, feature importance, and model comparison to improve the performance of the five models you provided. Based on my findings, I will provide recommendations for further improvement. I can complete this work within a day and provide you with a report summarizing our findings. Sincerely, Randa Adel

I can help you with feature engineering and feature importance analysis on the given dataset to improve the performance of your five DDoS detection models. I will also provide a detailed report in English that evaluates and explains the performance of each model after the feature engineering and importance analysis. The feature engineering and importance analysis will involve exploring the dataset to identify any patterns or relationships between the features and the target variable. This will be followed by selecting the most important features and transforming them to improve their predictive power. I will use various techniques such as feature selection, feature scaling, and dimensionality reduction to achieve this. After the feature engineering and importance analysis, I will evaluate the performance of each model using metrics such as accuracy, precision, recall, and F1 score. I will also compare the models to determine which one performs the best and explain the reasons for their respective performances.