Tips and Tricks.
Statistical Analysis refers to the science of analyzing numerical data relating to groups or experiments. It deals with the analysis and interpretation of such data such as those of survey results and experiments. Statistics analysts deal with probabilities, distribution, bell curves, etc. for analyzing statistical data. If your business involves conducting surveys, studies or other such market research, you will need statistics analysts to analyse and interpret the data. You can find freelancers who are able and willing to do statistical analysis for your business. Simply post a job today!Hire Statisticians
In this project we need to find the which promotion to run for next year from a list of promotions. A R or google colab code needs to shared which showcase the procedure and output. see the for full details.
One time small project. I need a number to pop up on the screen. No need for excellent graphics or advanced visualization. I have a similar program but Freelancer doesn't allow me to post the link here. Main requirements: i. Can log in and change parameters when necessary, ii. Multiple players can play multiple times iii. Ability to download data in excel or any other form Full details: Goal: Eat or don't eat berries (numbers). 1. Show a histogram of frequency of good berries by size (numbers will show on the screen and individual click eat or avoid). Use a random number generator to develop this histogram. Then the histogram will different each time. e.g. histogram of normal with mean 40 and std dev 10 just as in the gold/silver game in the link above. So that the...
We have some data in excel and want to analyse the amount of time it takes for a user to get hooked onto the platform and conversion rates. In your proposal, please: 1. share how you will approach this analysis (methodologies, tools, etc) 2. your previous work experience
I need some one to do estimation and interpretation of VAR and VECM model in eviews.
The first model is logistic regression, and the second model is decision tree. The target/response variable is Attrition and the evaluation metric is accuracy 1. Describe and explain both models (i.e., methodology) in a short paragraph. 2. Show the key stages of the process of how you implement both models in R. 3. Select the best model and then discuss in detail and summarise the business insights provided. For example, which variables/features are important in prediction? What types of customers are more likely to churn? What do you think might be the reasons behind the findings? Your analysis needs to be reasonable, and you could include some business theories or evidence to justify your statements along with the empirical findings from the provided data.
I have done some EDA and modeling using some economic data both globally and limited to Asia I need someone who can take the output and provide me with written analysis You should expect to write about EDA, PCA, Panel Regression, Decision Tree, Random Forest and neural network and I might add a clustering technique payment can be per page, per hour or as a fixed price providing samples of similar analysis is required to be shortlisted
We are looking for a statistician/algorithm expert who can help us develop a key algorithm for our data analysis team. We have build practice-based learning system in which students take tests, learn from mistakes and improve. We intend to gamify the experience using rank and level - next set of quizzes/assessments will open only after you reach a certain level. Each question has a defined complexity (Easy, Medium and Hard). The algorithm will calculate rank and level of each student based on student's performance/effort. Rank would be dynamic and will change based on the number of students taking multiple assessments in the subject. The rank and level calculation may include data points such as number of questions attempted, complexity of the question, time taken to solve the que...
need to read a csv file in R and send the data to a to a JS file where we write the D3js code for the graph itself, the graph needs to look like the graph attached the csv data will be something like this: occupation,Female,Male SE,12,10 SW,23,30 deadline is in 5hrs
Require a problem solver with good Aptitude, reasoning and puzzle-solving skills.
I am in need of a machine learning expert to help me prepare my model based on requirement. It is a regression problem and i would like to fit the model into Linear , polynomial , ridge , lasso , random forsest and apply other boosting techniques and finally ANN. I need clean code to fit my requirement. Thank you
I have 55 columns and a never ending amount of rows i need to analyse daily, weekly, monthly, quarterly and annually. I need varying types of information and I require a trend analysis and a historical comparison chart. I would like to set up a Teams vid call to discuss with someone.
I am looking for a PROFESSIONAL quantitative research writer who is willing to write a whole research paper in APA style. The paper would focus on the educational field and it will contain a Title, Abstract, Introduction, Methods, Results, Discussion, Conclusion, and References sections. Each one of these topics contains some required information as all researchers know. In addition, it will also contain some Figures and Tables and may have an Appendix or Appendices. The approximate page numbers are between 25-30 pages (NOT including references). However, I am looking for the quality not the quantity. So, if you see yourself qualified for my request, I encourage you to contact me as soon as possible to give you more details. The price is negotiable. On the other hand, PLEASE DO NOT CONTAC...
Actually we want to all possible Lines. See the file with aytechted
The R Developer/Programmer will have the following skills, experience, and education: Required: Knowledge of public R packages for clinical workflows Knowledge of programming practices for statistical analyses Knowledge in all or some of the Rstudio ecosystem including IDE, R runtime, debugging, DevOps integration, package management, repository structure/policies, app publishing including use of RSConnect Preferred: Good programming practices for statistical analyses R coding standards R Marketing for reports/outputs Submission package requirements Knowledge of public R packages for clinical workflows Experience: 3+ years experience with web application development in RShiny 3+ years of experience with R coding standard practices 3+ years of experience with submission package requireme...