Build me a Deep Learning LSTM Model
₹5000-7500 INR
Pagado a la entrega
I have the time-series data consisting of 5 gestures which contains noise too. I want to remove the noise and extract meaningful features using multiple signal processing techniques (e.g. Fourier Transform). After feature extraction, i want to build a LSTM Model based on the features which has an accuracy > 90 and works well on new data too.
Nº del proyecto: #36457952
Sobre el proyecto
16 freelancers están ofertando un promedio de ₹6500 por este trabajo
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I’m PhD in Machine Learning and Deep learning. I’m IBM and Google-certified ML and AI expert. I have 20+ international publications. I have also done MS Data Science. I have 8 years of experience in Data Engineering, M Más
Python , Deep learning expert. I can do it. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works you ar Más
Hi, I am excited to propose my services for your time-series data analysis project. I have extensive experience in signal processing and machine learning, which makes me confident that I can help you achieve your goal Más
Hello There, I am an expert in Python.I read your project description very carefully.I have a deep understanding and experience in the areas of python that you mentioned. I can handle this project as required. Please c Más
I am excited to submit my proposal for your time-series data analysis and feature extraction project. As an experienced data scientist with a background in signal processing, I am confident in my ability to help you a Más
I have over 6 years of experience in building Forecasting models. I have experience in developing machine learning and deep learning models.
I went through your proposal, and I understood your requirements. I am very much interested in working with signal processing and deep learning. I have good knowledge on Signal Processing Techniques such as FFT. and al Más
I'm excited to apply my expertise in signal processing, feature extraction, and deep learning to your time-series gesture data project. My proposed solution involves three key stages, ensuring a high-quality outcome: Más