ML project

Hello there, I am an expert python developer with years of experience, I have worked on multiple python projects for both companies and individuals, I have exceptional analytical skills, and I am considered to be a great problem solver. I'd like to work on your project and help you accomplish it. Looking forward to talking to you. Thanks! PS: We're a team of 2 developers with great experience in the field of AI ML/DL, which is good for you to hire us because we'll finish your project in shorter time.

Hi,i'm a data scientist with a BS degree in computer science i will do your task as fast as i can and i will achieve it exactly as you want,don't worry about any thing contact me for discussion

I am working as research assistant in IIT BOMBAY. I have done lots of ml/ deep learning projects. I can finish this projects within 1-2 hrs.

My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert). I also do Python programming.

I am machine learning researcher with more than two years experience in deep learning. I have built many neural networks and solved many real time problems.

I have worked with nueral network extensively and can do your job very quickly. I also have a team of extremely talented coder doing cutting edge work in neural networks so we can get your job done very quickly and effeciently.

Hello, The task you require is compatible with my skills, since I have taken Neural Network course. I have done many projects in ML involving NN, such as Digit Classification, Image Captioning etc, both in Python and Matlab. Also, I am sure that I can deliver the task in a short amount of period.

I am working on machine learning and deep learning stuffs for computer vision problems in my Msc program, so I have deep knowledge .

Good at training models and improving the accuracy. Currently working as NLP/ML engineer at various projects

I have 3 years of experience in NNs, Tensorflow, Caffe. Built different NNs and CNNs for classification. Good with training and testing models. Worked with classifiers giving 98% accuracy for traffic signs in caffe for GTSRB dataset.