Backtest a Trading Strategy in Python/ Machine Learning SVM / SVC - Repost

* Responsible for creating proprietary quantitative models and algorithmic trading strategies for long/short equity optimization models with specific risk and return parameters specified by the investor profile, utilizing machine/deep learning, along with Q reinforcement learning agents. •Created predictive vectorized/event-based machine learning models utilizing multivariate/logistic regression, lasso/ridge regression, linear/quadratic discriminant analysis, decision trees, K neighbors, Naive Bayes, random forest, support vector machine, Adaptiveboost, GradientBoost, XGB, and portfolio optimization to maximize return and minimize volatility for various investor risk profiles. •Responsible for deep learning modeling using recurrent neural networks, Tensorflow, nltk, sentiment analyzer, Keras LSTM, and convolutional neural networks, in attempt to predict specific asset class forecasted prices through stocks, forex, bonds, futures, ETFs, and other derivatives. •Designed a proprietary machine/deep learning long/short intraday algorithm utilizing the Interactive Brokers API, IB_Insync python library. Sam

ca we please discuss in chat as i need to understand the startegies, as have so many doubts i am oython expert and worked on the plugins you mentioned in project description

A dedicated analyst, proficient in running successful method-oriented operations & taking initiatives for business excellence. Specialized in creating Predictive modelling of data using supervised (Machine Learning) and unsupervised learning PROFILE SUMMARY  Qualified Data Scientist with 5+ years of experience in: Data Science ~ Business Analytics ~ Analytics Consulting ~ Managerial Consulting ~ Process reengineering ~ Model Building ~ IOT analytics Technical Skills and Tools:  Machine Learning: Supervised learning(Regression/Classifications), Unsupervised learning(Clustering), Azure ML;  Artificial Intelligence: Deep Learning, Neural Network using Tensor Flow  Programming Languages : Python, R;  Visualization Tools: Tableau,PowerBI;  Big Data Technologies: Hadoop, Hive, Spark;  Databases: MySQL, Vertica, NoSQL, Distributed database

5+ years Python experience, with Django and flask, and substantial experience creating APIs 10+ years experience with backend development, web and traditional software engineering Experienced with modern responsive site development and frontend workflows (HTML, CSS, SASS, LESS, Bootstrap, Foundation) Experienced with modern javascript tools and pipes (jquery, nodejs, gulpjs, grunt, backbonejs, angularjs) Excellent and thorough requirements gathering, analysis, and system design Ability to make cautious estimates and achieve them; identify critical issues early and neutralize them Excellent database analysis and design skills (postgresql, mysql) 10+ years *NIX administration experience (debian, ubuntu, redhat, solaris, openbsd, rpi, OS X) Experienced with cloud services (Amazon AWS, Heroku, Cloudflare) Excellent English communication and teamwork skills Ability to work autonomously and collaborate with creative and technical colleagues