Tips and Tricks.
Statistical analysis is a mathematical science, the practice of evaluating and understanding quantitative data. Statistical analysis will make sense of indexes such as standard deviation, and note outliers. The analysis of the data may aid in decision-making in the face of uncertainty.
Quantitative data is represented as numbers, and therefore may be presented in graph format. This simplifies the explanations and visualizations of the data’s meaning. The graph alone will show a positive or negative correlation, a bell curve, or no correlation at all.
Statistics require a population to be studied, and statistical analysis is commonly used regarding census data organized by governments, sociology and medicine.Hire Statistical Analysers
Small project, organizing data to provide, pivot table / dashboard presentation of predictive model in excel and SPSS.
Here is the situation: In R programming, use the acceptance-rejection method to generate random numbers from a beta distribution with shape parameter 2 and scale parameter 4. Plot the distributions produced using the acceptance-rejection method and the true distribution in the same plot. Also compare the 2.5% and 97.5% quantiles of the empirical distribution and the theoretical distribution, and b...
For this assignment, please build a notebook to solve the following problem in a clear and understandable manner. Design a covered conical pit to store at least 50 m3 of waste liquid with side slopes no steeper than 1 to 1 (45 degrees). Assume that excavation costs $100 / m3, the side lining costs $50 / m2, and the cover material costs $25 / m2. Determine the dimensions of the pit (top diameter...
Need a developer to build a regression model from a dataset. You will work directly with our CTO who is an experienced ML engineer and try out different models(XGBoost, Neural Networks) to see which one gives the best result. You should have experience in machine learning and understand data sparsity, class imbalance and other issues that arise while working with data. Candidate should also be...
I have run a time series analysis and would like to produce a plot that looks better than the one I can get by the autoplot function, but my knowledge of ggplot is not good enough
I want to publish in SCIE journals and I need support from professor in Bayesian estimation
We are a team of enthusiast and Subject Matter Experts in various things. Currently we are looking to hire a freelancer as a "Subject Matter Expert" Specializing in Data Science, Machine Learning, SQL, Big data, Tableau. The scope of work is to create a content on the given topic without plagiarism issues. If you think you have the required skills, kindly contact us
Hello, I need a reliable and fast analyst that I can contact regularly to help with real estate development models. Primarily multi family projects. I'm attaching a model created by a team member of mine that I need some help with. I need someone that fully understand how to build this from scratch and how to modify it. Thanks!
Help needed with statistical analysis of 100 survey responses. Analysis to include descriptive statistics, logistic regression, ANOVA, and Chi-square. The research includes 4 research questions. Quick turnaround time needed.
Looking for ML/Data Science Project(Python) which includes all the phases of the data life cycle- data collection, cleaning, analysis splitting data into train, test validation sets, exploratory data analysis, data modelling and management, visualization, reporting and interpretation of results. Also require complete project report, data set source
We are looking for a Data Analyst to work with our Publishing Royalties team. You will work with large data sets to develop insights about how we calculate, report, and pay publishing royalties. You will also work with our engineering teams to support the development of systems related to publishing data.
1.)forecast a stock market data for 15 min interval for using past 15 to 30 days. 2.)target column data. 3.)multiple algorithm are used. 4.)sample data given below
Only responsible economists can bid
Machine Learning Calculus; (require) Linear Algebra; (require) Statistics. (recommend) Computer Sciences Background: Data Structure; (require) Algorithm; (recommend) Numerical Analysis. (recommend) Python. (require)
R-code for a binominal and quasipoisson glm model for my data so it's statistically sound and review
Please have a math, statistics or algorithm composition back ground: We are building a credit and risk reporting system for non traditional markets . This will mean building algorithms and machine learning. We have a research paper with the mathematical model - Bayesian and Fuzzy Logic mixed with the FICO model. We you to refine the dynamic model in the research paper, combine it with model a ...
I need articles(1-2 posts daily) related to data science, statistics and machine learning for our business. I am looking for someone who can clearly explain one particular concept in one post. Article needs to be easy to read, without plagiarism and some useful images. Your submission will be in word document to me. I can provide ideas for first 5-10 articles and if I find work to be satisfactory,...
Simple sums and and few casE STUDIES AND PROBLEMS BASED ON TIME SIRES LINEAR REGRESSION MULTIPLE REGRESSION
We are specifically looking for someone that has experience in the following: -Technical skills in statistics, biometrics, experimental design, and spatial analysis -Technical understanding of plant breeding and environmental trialing is ideal If you meet the criteria listed, and you are interested in applying, please respond to this email with your CV, as well as a detailed description of your ...
We are looking for an insights specialist to investigate, quantify, analyze, and visualize survey data. We need a data-scientist who has experience shaping and manipulating data (in Excel) and some experience in SQL, Python, R, or Tableau/BI Skills. We would like someone who can build a dashboard to help others understand the key nuances in the data.