Supervised Machine Learning Model Creation

I am Data Science specialist with extensive experience in building supervised machine learning models using GRU, LSTM, and RNN. I can efficiently create and implement an accurate classification model for fraud detection using the CICIDS 2018 dataset. Proficient in Python and experienced in classification modeling.

Top 1% in Freelancer.com Hi, Greetings! ✅checked your project details: ✅Completed Time: In project deadline We have worked on 900 + Projects. I have 6 + years of the experience in same kind of projects. If you are looking for a true Freelancer, I am the Right person for you. I am available almost 24-7 and am very responsive. I feel proud that I am a trusted Freelancer who pleases almost every single client. You can rest assure, your work will be delivered well in advance of others, with passion and accuracy. I guarantee you instant communication & responses when you need me. Why choose me? I think every client is the reason for my success. I only take projects which I am sure I can do quickly. My Portfolio Items: https://www.freelancer.com/u/schoudhary1553 I would really like to work with you on this project. If interested, Kindly contact me via chat for further details and discussion. Thank you Sandeep

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Greetings, I can train for LLM building. Thank you for considering my application for this project. As an AI Engineer and Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

Hello, How are you? I have 6+ years experience in Python , Machine Learning (ML) and R Programming Language . I can assist you with this project and deliver it as soon as possible. Please leave a message through chat so that we can discuss the details of the project.

Hello, I've complete MS Statistics and Analytics, with a strong concept of Statistics by using Statistical Software: SPSS - SAS - Excel - Minitab Mathematica - R Programming. High-level skills in Multiple linear Regression - Control Chart - Hypothesis - Chi-Square Data analysis task Deliver within deadline with high-Quality content at affordable price. Looking forward to your response, Best Regards: Aqeel Ahmed

As an extremely talented data analyst, I want to emphasize my 4 years of experience in System fraud detection which has solidified my knowledge and understanding of supervised learning models. I have extensive hands-on experience with several significant machine learning techniques such as CNN, DNN, FCRN, SVN, LSTM, GRU, and RNN, all of which will be crucial to building your efficient and accurate classification model for fraud detection. The results I have achieved so far cannot be overemphasized in this regard. Moreover, I am proficient in both Python and R languages—essential skills needed to tackle the CICIDS 2018 dataset. In addition, my expertise extends beyound implementing the model to best fit the data; I have a rich background in Database designing and Management using SQL and MongoDB that comes in handy to handle large datasets effectively. Also not forgetting that I am a real time expert at data visualization employing libraries like ggplot2 in R, Matplotlib in Python as well as Power BI tool.

Hlo! I have done MS in statistics. I read your job description. I have expertise in R, R studio, ML, classification, regression, LSTM, RNN and statistical analysis. I will provide you with the finest work that perfectly aligns with your time and budget constraints.  Thanks waiting for your response. Regards, Hira Mahmood

I will show you my recent projects related to fraud detection system and then we will move forward. So it's surety for you to get perfect solutions from my side. Also, if you want demo-type things or initial work for your project, then I will show you, and after that, we will finalize our project deal and payment milestones. I am from India, GMT +5:30, and I am available from 8:00 a.m. to 11:00 p.m. We have 16+ years of experience in software development. We have developed over 600 projects and research papers in the fields of machine learning, artificial intelligence, image processing (GIS), network, and SEO-based web and mobile apps. We have successfully completed the projects ChatGPT, Deep Learning, Computer Vision, Natural Language Processing (NLP), Encryption Decryption, Face Detection, UML Diagram, OCR, Big Data, Data Mining, Data Analysis, Statistics, Trading, Text, Image, Multiclass Classification Using Azure ML, Tensorflow, R Programming, OpenCV, Matlab, Hadoop, Artificial Intelligence Program Using PROLOG, Robotics Software, TCP-UDP Networking Project, Cloud Computing, etc. Note: The project has QA, testing, and comments in the code, so it's easy to understand the flow of the project.

Hi, My name is Seyed Amirreza and I'm an experienced Python developer with the necessary skills to complete your project. I already worked on Time Series of data Sequence of data includes Automated stock trading, Stock prices, Weather and classification on series data. My track record of success with similar projects is proof that I can deliver results quickly and accurately. If you're interested in hearing more about how I could help you, please don't hesitate to reach out! I can provide the requirements with minimum time and cost.

Hi. Thanks for your posting. I have just read your proposal and I am sure I can complete the project on time. I am an expert in ML/DL who has many years of experiences in supervised or unsupervised learning. Please contact me to discuss the project in more details. Waiting for your contact now... Thanks. Best Regards.

Hello, i am a data scientist i have good skills in machine learning, already work on similar projects using LSTM and bert, I'm available to start immediately, let's discuss more details on chat. Best regards, younes

Hello sir I am excited about the opportunity to contribute to your project on fraud detection using the CICIDS 2018 dataset. With a strong foundation in Python, R, and a wealth of experience in implementing supervised learning models, I am confident in developing an efficient and accurate classification model for your specific needs. My expertise extends to utilizing GRU, LSTM, and RNN architectures, ensuring the application of state-of-the-art techniques to enhance the model's performance. I look forward to collaborating with you on this intriguing project. Regard

Dear... Thanks for your posting. I am very interested in your project and I have many experiences in supervised learning models and classification. I think the following models are good too. Logistic Regression, Naive Bayes, k-Nearest Neighbor, Decision Trees, Support Vector Machine, Neural Networks. Please discuss more detail about your project. If you award me, I will do my best and deliver best results in time. Thanks. Regards.

Proposal Summary: Building a Fraud Detection Model using GRU, LSTM, and RNN HI SIR I hope you are well This proposal outlines the plan to build a robust supervised machine learning model for fraud detection using the CICIDS 2018 dataset. The primary tasks include creating an efficient and accurate classification model and implementing it to fit the data. The ideal candidate should have proficiency in Python or R, extensive experience with supervised learning models, and familiarity with classification modeling. The proposed approach involves the following steps: 1. Data Preprocessing: Clean the dataset, handle missing values and outliers, and split it into training and testing sets. 2. Feature Engineering: Extract relevant features and preprocess the data through scaling, normalization, and encoding. 3. Model Selection: Utilize RNN-based models (GRU, LSTM) to capture the sequential nature of the dataset and implement them using TensorFlow or PyTorch. 4. Model Training and Evaluation: Train the chosen model on the training data, monitor performance using evaluation metrics, and apply techniques like cross-validation or data augmentation. 5. Model Deployment: Save the trained model and develop a user-friendly interface for real-time fraud detection. Effective communication and regular updates will be provided throughout the project. The aim is to deliver an efficient and accurate fraud detection model using GRU, LSTM, or RNN.

Hello, I am machine learning specialist, I can train model like RNN, LsTm, bi-Lstm, GRU, character base RNN and advance transformer model like Google BERt for classification task. Let discuss in chat. Looking forward to hear from you. Best regard Imran

Hello, I'm a passionate python and web developer with 7+ years of experience in the IT industry. During this time, I have created some complicated image recognition projects using deep neural network and data Processing and natural language processing projects using embedding technology. I am fully available to get started on your project immediately, and you will find it interesting to discuss the project details.

Greetings, I am an experienced freelancer well versed in machine learning in Python. With an extensive background in the field, I have successfully implemented machine learning solutions for diverse projects. My expertise lies in crafting predictive models using scikit-learn and TensorFlow. I specialize in feature engineering, extracting meaningful patterns from data to enhance model performance. My approach involves a deep understanding of algorithms, enabling me to fine-tune models for optimal accuracy and reliability. Whether it's classification, regression, or clustering, I have a demonstrated ability to choose and implement the most suitable algorithms to address diverse challenges. Having navigated various projects, I bring a wealth of experience in troubleshooting and refining models to meet evolving requirements. I am enthusiastic about the opportunity to apply my expertise to your project. I am eager to engage in a detailed discussion at your earliest convenience. Best regards, Derrick

Hello. I hope you are doing well. I have 10 years of experiences in ML & DL, Computer Vision & Image Processing. I have handled Object detection/recognition, Image classification, OCR, ANPR/ALPR, Time-series forecasting, Pose estimation, Face emotion recognition using CNN/RCNN/RNN/LSTM/GNN/GAN/SVM/SVR/... and C/C++/Python/Matlab(Pytorch, Tensorflow, Keras, tesseract, pandas, numpy and so on). I can provide you with the perfect result on time. Please cContact me so that we can discuss the details of the project. Thank you for your time.

Hi there, I'm thrilled to discuss the project with you. Having discovered your quest for a skilled python developer well-versed in Python development, You Need a robust supervised machine learning model using GRU, LSTM, RNN for fraud detection system. I confidently step forward to take on the job. From your post description, it's evident that time and budget efficiency are paramount, and I assure you that I'm fully aligned with those requirements. My 3+ years as a full-stack python developer have equipped me with in-depth knowledge and proficiency in python development and customization. Additionally, I'm committed to providing ongoing support for any future edits or customizations you may require. Thank you for considering my application. I eagerly await your response and the chance to collaborate with you on this exciting journey. Best regards,