Machine learning with R

Hi there,I am Miljan,R expert from Bosnia & Herzegovina,Europe. I have carefully gone through with your requirements and I would like to help you with this job ! I can start immediately and finish it within the agreed deadline. Check out my profile, portfolio, and former clients feedback - that'll let you know everything about me. Please feel free to contact me so that we can discuss further details. Thank you for taking the time to read my proposal.I am looking forward to hearing from you. Kind regards

Hi, I have expertise in both web scraping and machine learning using R. I can assist you to develop your project quickly and efficiently. Demos available. Regards, Chris

Hello, I can help with you in your project Machine learning with R. I have more than 5 years of experience in Data Mining, Machine Learning, Python, R Programming Language, Writing. We have worked on several similar projects before! We have worked on 300+ Projects. Please check the profile reviews. I can deliver your job with in your deadline. Please ping me for more discussion. I can assure the 100% job satisfaction. Thanks,

Hello I can achieve this project perfectly I am an engineer in operational research and decision support option statistics I master statistics, R programming , datamining , machine learning,web scrapping Please contact me for more details about the project best regards

Hello, I am Prajwal Bhatt, a recent graduate from IIT Roorkee. I went through your project description and I'm fairly confident I can achieve what is mentioned there. I have 4+ years of experience in R programming, working as a Data Scientist/Machine Learning engineer in various companies viz. Schlumberger Software, Razorpay Solutions etc. I can implement all the Machine Learning algorithms including Neural Network in R. Also, I have web scraping skills. I can have it done in R but I'm more comfortable with Python libraries such as Beautiful Soup, Scrapy, Selenium etc. Best, Prajwal

Hi I am a very experienced statistician 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

As an: 1- Bachelor of Applied Mathematics 2- Engineer in Statistics and Applied Economics 3- Microsoft Office Technician (Microsoft Graduate: MOS Diploma), I am able, available and ready to do this kind of work in the best conditions,

I am an expert in Data science, I've done a lot of projects in Machine learning involving data preparation, data visualization, building classifiers and regression model using R, Python and Matlab contact me for further discussion.

Hello, I have extensive experience in python and financial markets and would love to help you out on this project. I currently work part-time as a consultant for a long/short equity hedge fund part/time in Palo Alto, CA and have a Masters in financial mathematics/engineering. I think I can be of great help to you. My credentials are below: * 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. Speak soon!

I have 3 yrs of experience as statistical analyst. My skills include preprocessing, descriptive statistics, Testing hypothesis, predictive modeling/Machine learning, Dimension reduction using R, SPSS. I have strong knowledge of data analysis and my core strength is working on R, SPSS and excel. I can accomplish the tasks by quickly and clearly understanding the project requirements.

Dear employer, I have some basics understanding of the requirements. I can always do more research on my own to fully understand them. When it comes to R, I do my best to deliver. Thanks, Bryle A.

Hello, We have expertise in Data Analytics and Data Visualizations services and have already worked for world's best-known brands like CISCO, Grameen Phone, Personagraph, Reliance etc. Few of past projects from our portfolio: 1. Real-time, API-based messaging platform for Internet of Things Description: LoonYard is a product for real-time, high-performance messaging stack with developer APIs. It is a basis for our enterprise messaging application called Flum. We are also using it to connect external devices and system APIs to create Internet of Things environment in our office. We developed LoonYard using Dropwizard, Kafka, Cassandra, Storm, Redis and ElasticSearch. 2. Next-gen Game Development Platform and analytics Description: NGDP Platform provides mobile SDK and gateway to various game services such as leaderboard, score, and generic services for storage, notification and analytics to game developers. Our team developed highly scalable game gateway that supports 10 million calls per day. We used nodejs, mongodb for gateway and Apache Sparks and Tableau for analytics. 3. Analytics and OSS components Description: Our team, along with one of our partners, is involved in providing analytics about wireless coverage to a major telecom provider. We were involved in mobile app development for data capture and scaling of backend infrastructure to ingest and analyze large amount of data from capture devices and OSS/BSS elements. Regards, Sneha