Ngôn ngữ lập trình R Jobs

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

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I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...

I have written code in R that requires interpretation and Python code that needs modification. The goal is to develop a system that updates lottery predictions automatically by entering new winning combinations. Key Requirements: 1. Deliver results for the Pick3 game first as proof of concept. 2. Create a file that generates new predictions based on updated winning combinations for games like Mega Million, PowerBall, Cash4life, and others (details provided). 3. Demonstrate functionality via screen sharing to ensure accuracy and alignment with requirements. Ideal Skills and Experience: - Proficiency in R and Python programming languages. - Strong understanding of algorithms and statistical modeling. - Experience with predictive modeling or similar projects.

I need an expert in genomic data analysis, specifically with SNP array data and GEBV modeling. Tasks include: - Data preprocessing and quality control - Statistical analysis and modeling - Visualization of results Ideal skills and experience: - Proficiency in bioinformatics tools and software - Strong background in statistics and modeling - Experience with SNP array data and GEBV modeling - Ability to create clear, informative visualizations Looking for someone detail-oriented and experienced in handling complex genomic datasets.

I have just completed a series of in-depth interviews and, alongside some supporting quantitative notes, I now need the stories inside this mixed-method dataset to be surfaced and clearly articulated. The project is centred on narrative analysis: I want to understand how participants construct meaning, where their storylines converge or diverge, and what overarching plotlines emerge. All interview audio is already transcribed verbatim and lightly anonymised. You will begin by familiarising yourself with the transcripts, then move into coding and narrative structuring. Because I have supplementary numeric observations for each respondent (e.g., demographic tags, brief rating scales), I’m keen for these to be woven into the story map rather than treated as a separate appendix. NVivo o...

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...