Deep Learning System - Stock Analyzer

Hi, I am Ibrahim and I am a data scientist, I can help you with deep learning in stock analysis, I have used CNN, LSTM and RBF neural networks for the purpose, please share info on the prospects as well. Regards. Ibrahim Anjum

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best wishes.

I have extensive experience in the domains of:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ Matlab  Asterisks PBX  NS3 simulation  Linux While working in the domains mentioned above, I have worked used frameworks like TensorFlow, Scikit-learn, PyTorch, STP and UDP, Caffe2, OpenCV, Keras, matplotlib, seaborn, fastai, Pycharm, NILM algorithms etc) I am also very familiar with classification and clustering algorithms such as SVM, FHMM, Combinatorial Optimization, HART 85 Algorithm, Maximum Likelihood Estimation, KNN, LDA. We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.

Hi, We can develop this ai based stock predictor for you. We have expert team, we will fatch the data with different apis and than will short it from our customised develop algo. We have build such tools in few our ERPS, like risk assements tool, companies valudation tool etc. Lets discuss more on chat. Thanks.

I deeply study different schema of STOCK evolution in another process. If you have the mathematic and learning concept I will reevaluate the price. Thank you, Claudiu

Recently i have successfully complited a project based on RNN(lstm). So stock analysis can be done with these algorithm. Client-Advanz pharma. Project-Sentiment analysis. Business case-Client wants to analyse the sentiment of customers. It's a purely NLP project. Where sentiment is Adverse drug reaction and NOT. So, our client decides to use machine learning for finding the sentiment over a drug used by customers. Client wanted to recognize the customers feedback over the drugs, which drugs is presently available in market and how the customers reaction over this drug. Is this drug have positively impact to the users or not by intake. In the first step we got the data from client is in csv format, the data features are customers feedback and classes are (adverse drug reaction or not). After understanding the data, we pushed the data into pre-processing. After removing all the errors from the data, we send them into training and testing. For training we used RNN(lstm). We got 89% accuracy. Tools-Python, NLTK, TensorFlow, RNN( lstm).