Sports Analytics

I need a Machine Learning Engine to Optimize entry and and exit . I have programmed a custom indicator for the Ninatrader platform that will output different up to 16 variables (Characters) from a set of 6 possible outcomes. To simplify I have made them Characters, ABCXYZ.. In a series (look back period) of up to 10.. Example of one series of a look back of 10. There will be 8 of these. ZZZZYYXYXX. In essence I would like to…

It helps the people for vaccinations

Wissenschaftliche Arbeit über das Thema "Independent Private Value Theory".

I want a research paper to be completed following in 12 hours. Data-Set will be provided for this: Research paper has to be 10-12 pages. APA 7 Guidelines shall apply for reporting of results. Paper should have the following structure: 1. Relevance (1 Page) 2. Research Question and Hypotheses (four hypotheses) (1 Page) 3. Explanation and Justification of Selected Statistical Tests (3 Pages) 4. Results including APA-Tables and APA-Figures (3-5 Pages) 5. Conclusion (2 Pages)

Proposals are welcome. Preferably in the direction of e-commerce but not a compulsion. The report has to be non-plagiarized with proper dissertations and references wherever necessary. Preferred programming language: Python or R Preferred tool: Orange or Tableau

I need help in research related to twitter data , using R studio

Need to get count of documents based condition We do have an index having customers and orders information , we need to retrieve count of unique customers which have placed on order on particular range and unique 1. Get unique count of customers which have ordered today itself - it should not have any orders placed earlier. 2. Get unique count of customers which have not orders in particualr range but placed order at particualr date - festive date 3.…

using R studio and tableau find insight in the attached document describe the requirement

I need the help of statistical or data analyst who is well knowledgeable in econometrics and can help implement Dynamic extreme bound analysis quickly for me using either R or Python effectively, Thanks in Advance

S3, RDS, DynamoDB, Redshift, Kinesis, Glue,Athena, Lambda,SNS, SQS Spark, Presto

we are producers of streetwear, fasionwear and sportswear, we also produce footballs boxing gloves and other sport equipment as well as have our own factory of cast aluminium where we make gates/ kitchens and other construction related stuff

We are looking for an Academic Content writer with knowledge in Manufacturer of process equipment. We request you to start your message with the solution for 13+34, so that it will be clear that you have read the instructions. Don't reply if you don't have portfolio/samples or are not fine with the budget. *Budget*: 8000.00 – 10000.00 INR

Case involves a so called random sample of billings in a health care billing dispute. Out of approximately 2,000 patients and 50,000 sampling events, a few hundred were picked. These were analyzed for regulatory compliance and then a "bill" made up to recoup money by means of projecting the sample over the entire patient population and billing history. Our contention is that the sample was not "random" but skewed so as to produce a larger billing error.

I am a clinical psychology doctoral student. I have my data in SPSS format and need help with the statistical analysis. 3 IVs (dichotomous), 3 DVs (Likert). Looking for in-group and between-group differences, as well as gender differences. Also decriptive statistics, of course. I am using archival data.

Hey, I have a set of data and set of questions need to answered. If anyone interested please let me know.