Tips and Tricks.
The project aims to code and back-test various algorithmic trading strategies. The input to the strategies will be raw price action data, which will be organized into range profile units etc. and corresponding trade initiation and exit rules will be defined. These strategies may be broadly classified as mean reversion, trend following and breakout. Good Knowledge of price data organization and price and custom indicators’ visual display will be required. Coding needs to be done on Python. More details about what exactly needs to be coded will be shared on PM.
The result of research will be on predictive intent mining. Requirements Looking for data scientist with past experience in projects that sole deal with user intent mining. 1. Please list your past experience in such project 2. What was your role? 3. Attach a quick process showing how are going to build predictive analytics using user intent descriptive analysis And finally how would you apply MLL to the process? The main evaluation will be on your research capabilities. Responsibilities for Data Scientist • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications for Data Scientist • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. • Experience working with and creating data architectures. • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. • Coding knowledge and experience with several languages: C, C++, Java, • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
My project is on "Study on causes of Motorized two wheeler crashes on urban roads". My project is entirely based on questionnaire survey. In which respondents were asked to give in the demographic details,riding experience,behavior questions,crash information, license, training etc. I need help in the analysis of the data that i have collected. From factor analysis to generalized linear modelling. (I also need the interpretation of the results that will come out of the analysis)
Hello, I need a statistic of curve radius for specific roads, e.g. in all highways in europes Filter for tag "motorway" + "Europe" in openstreet map for example and calculate the curves radius and derive a statistic (distribution). I dont mind how you do it, if in R-Studio, C++ or whatever...
Hello, I am looking to hire someone with high knowledge about deep learning and data regression , such as fuzzy logic . applying and implementiong a fuzzy expert system. Below is the sample short questions and answer . If you can answer those questions. I would like to hire you for 4 hour's real time ( specific date and time will be told after awarding )with the hourly rate. Note i will be paying u with hourly rate :) . I need help with explaining this type of questions. You are not require to answer but should be able to explain. Cheers To the Freelancer staff, I am actually looking for consulting . not to do the assignment :3 Data Learning , Data Mining , Data Regression , Fuzzy Logic , neural networks
Seeking a highly creative data visualization expert. PLEASE ONLY RESPOND IF YOU ARE LOCATED IN UK/EU DUE TO DATA PROTECTION LAWS ..... and a proven expert in Microsoft Power BI Visualization. This project is to take some existing reports and create stunning, visually appealing variants of those reports so we can show case them in our marketing materials.
Hi We need somebody who is very good in statistical calculations/predictions with sound knowledge in mathematics so that he can predict and understand different permutation combinations of POKER GAME. Attached is the file of poker statistics for reference.
assignment on data analysis to be submitted to the CEO of an [login to view URL] demonstrate your understanding and ability to apply the statistical knowledge and skills. report should include the analysis of data set provided by me, in the format that i need. and i need the report urgently. thank you.
Hi, I need someone with expertise in Neural networks and related designs. Additionally if you have knowledge of R programming language it will be a benefit. Will explain the job in detail to deserving applicants.
I am look a statistics Tutor R expert I look for very smart tutor . [Removed for encouraging offsite communication which is against our Terms and Conditions -Section 13:Communication With Other Users] Need help right away
I have a project using R programming or Python with report a) the description of attributes (columns) e.g. the number of discrete and continuous attributes (make factors from discrete ones, get rid of useless ones or remove one attribute from each pair of strongly correlated attributes). Find or make your target class attribute. b) the description of used classification methods and their validation process (changing their parameters e.g. minsplit, cp, k-fold crossvalidation, boosting, bagging, adding cost matrices to them, modifing input data e.g. standardization i.e. standard score, normalization, removing NA and so on). c) the validation process summary including ROC plots and their comparison. d) You may use some clustering methods for not labeled datasets (without an obvious target attribute). After this operation you can learn classifiers utilising input data and obtained cluster labels. e) Enclose please your R code with comments and links to data used in R code (if it was changed before [login to view URL] then dropbox links to your new data).
Dear all, I am looking for a solution that allows me to define the digital attribution model of my company, using Google Analytics data. Attention point: I am not looking for the configuration/implementation of the attribution model feature of Google Analytics. As example (please up to you to propose the best solution)I am thinking on something like: 1. Get existing data on GA 2. Send/upload/sync data into a machine learning 3. Provide the attribution model I am open to any solution that is not using the Google Analytics model. Kind Regards, Luis Falcon