machine learning expert.

Hi, I'm an expert in machine learning. I'm sure that I can easily do this project for you. We can have a chat about it. Thanks.

Hello, Greetings of the day.!! I have a preferred freelancer badge. Which means I am in top 3% of AI ML freelancer. I have successfully delivered more than 80 AI/ML projects(R and Python) in last 9 Months with best rating and reviews. Your project attracted my attention at first glance, because I've really rich experience in Machine Learning with R (R studio) and Python Programming. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project.   If we get a chance to cooperate, I'll do my best to provide wonderful result. Some of the recent projects I have worked upon - 1) Text Classification and Categorization 2) Stock price forecasting using Neural Network 3) Face recognition using OpenCV / Python 5) LSTM RNN CNN for sequence classification and prediction 6) R programming real time assignment _R_ 7) Electricity Load forecasting using Deep Learning models using _Python(Keras)_Tensorflow 8) so on ..... You can check my all projects and detailed portfolio on my profile || Link -  https://www.freelancer.com/u/invincible1428 Skills - R Python R Studio Sklearn Keras Tensorflow Flask REST API Ping me for more details. Lets Discuss....!

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.

Hi, want to know the following details Whether the module to be added should be done in python, c or c++? Have you decided the machine learning algorithm that should be implemented? Regards

I have experience in implementing ML and DL models using tenserflow, keras and scikit-learn. I have completed many projects. Some of these are as: 1. Human Activity Recognition (HAR) :- I have tried three models Support Vector Machines (SVM), K-Nearest Neighbors (k-NN) and Convolutional Neural Network (CNN) to classify six activities(Walking ,Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying). The most accurate model tried is SVM with accuracy of 98.47%. 2. Brain Computer Interface(BCI) with the P300 Speller which aims for helping patients incapable to activate muscles to spell words by methods for their brain signal activities. The first classification is to identify the presence of a P300 in the electroencephalogram(EEG). The second classification is the combination of various P300 response for deciding the correct character to spell. 3. Handwritten Digit Recognition using CNN :- Implemented a CNN model using tenserflow to identify handwritten digits from the MNIST dataset. I will first discuss problem statement and your requirement properly and then I will propose an approach and estimated outcomes with you and if you will agree with that then I will code that and complete it. Your requirement and statisfaction will be my first priority. Looking forward to hearing from you. Thank You.