ML Detection algorithms Assignment

Hi, read your project i can do it. But i will do it in 3500INR. If you're happy withh budget then will do it with high level of accuracy.

Hello, I appreciate your need to have this service, so don't worry I'll help you make it comfortably. I will be glad if you could provide more details about the project. Make sure that you will be very happy, when I start working with you, because I can easily do your work according to your requirements, and I'm very good with these kinds of project. Never hesitate to contact me. Best regards.

As a recent graduate with experience and passion in both Machine Learning (ML) and the R programming language, your project is well-suited for my skill set. I have successfully completed projects involving ML algorithms that require the utmost accuracy and precision, which aligns perfectly with what you're looking to achieve. I assure you that I can test and evaluate the ML algorithms in not one, but two scenarios as you need. Moreover, my passion extends beyond just executing a task - I care deeply about understanding the business problem at hand and how my project outcomes will help stakeholders make more informed decisions. This approach guarantees that I will focus solely on improving the accuracy of your incident detection, without getting sidetracked by other factors like the SIEM plugin or software integration, as instructed. Lastly, whilst on this task, you can rest assured that my unyielding work ethic will remain intact as I tackle your project head-on. I always strive for excellence and believe in delivering great value for every cent spent. Hence,I am more than happy to accommodate your fixed budget for this project without compromising on quality. Let us connect and validate how my skills can perfectly complement your needs!

Hi there, I'm an AI engineer with expertise in R and machine learning algorithms. I can help find the best solution for incident detection within your budget! Here's my approach: 1- Algorithm Selection and Testing: I'll leverage my R skills to implement and test two machine learning algorithms (in two scenarios each) for accurate incident detection. 2- Performance Evaluation: I'll compare the algorithms' performance metrics to identify the most effective solution for your specific needs. 3- Cost-Conscious Approach: I'll prioritize efficient implementation within your fixed budget to maximize the value of your investment. My skills and R expertise make me a perfect fit. Let's discuss how I can optimize your incident detection system! Regards, Islam Amer

As a dedicated ML engineer with expertise in Python, encryption, and software documentation, I offer comprehensive skills in content creation and project management. I propose to develop meticulous documentation for your incident detection algorithms, focusing on accurate classification of malicious events using R. Leveraging my experience in Python, encryption, and software documentation, I will meticulously test and evaluate two machine learning algorithms in two scenarios each to determine the most suitable supervised learning model for the task. My passion for content writing ensures that the documentation will be thorough, clear, and engaging. Rest assured, my commitment to quality work aligns perfectly with your organization's standards.

Hello Sir, I hope you are doing well. I will be able to help you with your project. I read through the description, and it sounds like I am just the right person for it. I have the right skill set with sophisticated experience in Python, Software Development, Machine Learning (ML), Recommendation Systems and deep learning (NLP, Computer vision) in both Tensorflow and Pytorch. I have good experience developing and implementing Computer vision object detection models by YOLO for this kind of project. As a next step, I would like to discuss some further questions with you, over the chat. I am looking forward to working with you and if you have any further questions, I would be happy to answer them. Best regards, Mohamed

Hi. I am a data scientist. I am very familiar to Deep learning apis such as Tensorflow and fastai, mxnet. I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building Image Processing, Speech Recognition and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. I usual using many technique and library, frameworks such as tensorflow, tesseract, machine learning such as CNN, DNN, FCRN, SVN etc. and I am generally not attached to programming language in working.(r programming, pytorch ,opencv, nlp, computer vision,Linux, Python, , ....) Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. Projects I have done so far as a Freelancer : ● Object Detection ● Face Recognition ● Image Classification using Transfer Learning ● Reverse Image Search Engine ● Recommendation system for dating android app ● Google Scholar website scrapping through R programming ● vehicle detection, counting, classification in real time cctv camera ● twitter sentiment Analysis using python

Hello, I'm an ML engineer ready to dive into the project immediately and ensure timely delivery. Let's start with a quick chat to gather all the necessary requirements and information. Once we have that, I can provide more detailed specifics. Thanks!

Hi there, Your project on developing detection algorithms using R to classify malicious events sounds intriguing and aligns perfectly with my expertise. Your requirement involves testing two machine learning algorithms across two scenarios to evaluate their effectiveness in supervised learning models. I can leverage R to implement, test, and refine these algorithms, ensuring optimal classification accuracy. Let's schedule a call to discuss this further. I can provide insights into the most suitable machine learning models for your needs and help outline a strategic approach within your budget. Best, Aneeb A.

My proposal involves testing and evaluating two machine learning algorithms in different scenarios to determine the most accurate incident detection algorithms using R

Being a seasoned professional with a decade-long experience in data science, I assure you of my expertise in developing and evaluating machine learning algorithms that cater exactly to your needs. My proficiency in R and Python, combined with the solid understanding of Sequences, Time Series and Prediction (as reflected through my Coursera course certificates), will help me effectively carry out your project. In fact, I have previously overseen various projects
at GE Aerospace where I had to classify malicious events through ML algorithms. During my time at GE, I honed my skills in ML by working on diverse projects that demanded high accuracy in incident detection and classification. This not only further developed my competence but also sharpened my capability to offer innovative solutions aligned with unique industry challenges such as yours. These qualities make me the ideal choice for your project; you can trust me to deliver robust, cutting-edge ML algorithms within your budget. My passion for learning allows me to continuously incorporate new methods and technologies into my work, ensuring that I stay ahead of the curve in tackling dynamic problems like classifying threats. Choose me for ushering in efficiency and accuracy through data-driven insights.

My proposal aims to develop and evaluate machine learning algorithms for incident detection. Leveraging my experience in categorizing cases and assigning them through Salesforce (SFDC), I will utilize domain knowledge, data handling skills, and problem-solving abilities to train and test supervised learning models. The project will involve defining scenarios, preprocessing data, feature engineering, model training, and evaluation. By comparing algorithms under different conditions, such as limited data and varied feature sets, I aim to identify the most effective solution for incident detection. The project will be approached with a results-oriented mindset, ensuring value delivery and practical applicability. Also, I'll be using Python to do the above task, feel free to reach out to me if you feel I'm the right man for this job and the we can discuss the specifics. Also, I'll try to do the project well before the given time.