Artificial Inteligence -- 2

I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building financial models (Stock Markets) , Image Processing and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I would like to hear from you. Thanks Shivam

Hi, I will develop a software for your tax research portal with the ability to scrape 3000+ foreign language websites, scrape through child bookmarks for a webpage etc. It will be helpful if you provide the complete details to develop the software. I am expertise in modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods. Has strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting. I used libraries like- Pandas, Numpy, Sci-kit Learn, matplotlib. Here are the created one please have a look:- 1) Highway networks to get an intuition for how they work. Highway networks, inspired by LSTMs, are a method of constructing networks with hundreds, even thousands, of layers. 2) LSTMs for Human Activity Recognition Human activity recognition using smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories: WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING. 3) Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Prediction I did experiment with the seq2seq neural network architecture In this project are given 4 exercises of gradually increasing difficulty. I take for granted that the public already have at least knowledge of basic RNNs and how can they be shaped into an encoder and a decoder of the most simple form. Best Regards Yuvraj Kakkar

Worked on Natural Language processing before and applied LSTMs. Having done two or three projects in Machine Learning, I think I can do this job. You can see my profile on LinkedIn.

Hello there, I am an analytics consultant with more than 6 years of experience working with clients across the globe on statistical data analysis projects , machine learning projects and proficient in R and python languages. Please ping for further discussion. Thank you Yash