keras tensorflow tutor instructor

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

Hello there, Being Indian and Keras Tensorflow acknowledged makes me most suitable for recording the machine learning project of yours. I also have a year of experience in teaching in a govt eng college. Feel free to ask me your queries and proofs if required. Thanks for reading :)

I have developed most of my projects such as question answering systems, time series, computer vision projects like navigation system for the blind, object detection and localization, generating pokemon images, etc in tensorflow/keras. For more information, message me.

First:- Chatbot --> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort. For example, if this Chatbot is integrated with company page so it can easily answer you some basic questions about the company. Second:- Word Predictor --> This will be integrated with my Chatbot and it's an algorithm is such that it will learn according to previous input given and then It will suggest the next question and next word accordingly. Third:- Comment Checker --> This has a huge set of words inbuilt with its degree and level and it will analyze each comment and according to that it can give the report or if any inappropriate comment is taken it can forward to the authority. Speech Recognisation Train the database using deep learning, doing language model and lexical model for Arabic , adding functions to increase different types of noise at different levels as the picture shows. Then we notice the results.