Lugha ya Kuprogramu ya R Jobs

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R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.

An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.

Here's some projects that our expert R Programmers made real:

Data cleansing techniques to make numerical datasets easier to read and interpret
Complex algorithms that aim to solve a wide range of problems from predicting stock prices to optimizing machine learning models
Advanced visualizations that reveal important trends across different industries
Automated tools that make digital transformation faster for businesses
Statistically sound research methods for solving complex problems

By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?

Kutoka kwa kaguzi 39,436 , wateja wanakadiria yetu R Programmers 4.8 kati ya nyota 5.
Ajiri R Programmers

Kuhusu Lugha ya Kuprogramu ya R

Here's some projects that our expert R Programmers made real:

Data cleansing techniques to make numerical datasets easier to read and interpret
Complex algorithms that aim to solve a wide range of problems from predicting stock prices to optimizing machine learning models
Advanced visualizations that reveal important trends across different industries
Automated tools that make digital transformation faster for businesses
Statistically sound research methods for solving complex problems

Kutoka kwa kaguzi 39,436 , wateja wanakadiria yetu R Programmers 4.8 kati ya nyota 5.
Ajiri R Programmers

6 kazi zimepatikana

Amazon Sales Prediction Challenge

9 siku left

? HAGO Contest #2 – April ? For data scientists and analytics enthusiasts, we present a new challenge with Amazon sales dataset. ? Tasks: Explore the dataset in depth Analyze patterns and trends Build a predictive model using Python Submit results in a PDF file within our private community ? Prize: The winner receives $15 USD for the best analysis and prediction ? Don’t forget to join the IFAI Contest for future forecasting, where the winner earns $10 USD. ✨ Tips to increase your chances of winning: Make your analysis comprehensive yet easy to understand Add clear and insightful visualizations Focus on prediction accuracy and creative ideas

Uchambuzi wa Data Data Science Uwasilishaji wa Takwimu Hadoop Ujifunzaji wa Mashine (ML) Uchambuzi wa Utabiri Python Lugha ya Kuprogramu ya R Uchambuzi wa Mlinganisho Uchanganuzi wa Takwimu

$15 Average bid

$15

11 wasilisho

Ingia sasa

Dot-Based Auto Exit Strategy Development

6 siku left

Strategy Name: Footprint Dot-Based Auto Exit Strategy (Profit-Constrained) (DOT indicator referenced already has been built) $30 Flat. ______________________________________________________________________________________________________________________________________ 1. Purpose This strategy is designed to: Automatically exit manually placed positions (Long and Short) Based on pre-existing footprint indicator signals (Red and Blue dots) Ensure that ALL exits are profitable Operate on a Line Break chart Process both historical and real-time data ________________________________________________________________________________________________________________________________________ 2. Dependencies Requires an existing indicator that provides: Red Dots Plotted on positive (up) ...

Algorithm Uchambuzi wa Data Data Science Uwasilishaji wa Takwimu Tathmini ya Fedha Python Lugha ya Kuprogramu ya R Kumudu Hasara Uchanganuzi wa Takwimu Uuzaji

$28 Average bid

$28 Wastani wa Zabuni

29 zabuni

Zabunia sasa

Changes in a data track record of some trading broker.

6 siku left

I need a dependable way to capture every alteration that occurs in a trading broker’s data feed and keep a clear audit trail of those changes. The broker has not been chosen yet—Interactive Brokers, TD Ameritrade, or E*TRADE are all on the table—so the solution must remain flexible enough to plug into any of their public APIs or downloadable reports. The fields I will most likely focus on are execution-related: timestamps, quoted prices, and volumes; however, I want the workflow to be able to monitor any additional columns that might prove useful later. In practical terms, I expect a repeatable script (Python, R, or another language you recommend) that can: • Connect to the selected broker’s API or data export • Take regular snapshots or pull historica...

API C Programming Uprogramu C++ Uchambuzi wa Data Uwasilishaji wa Takwimu Metatrader Python Lugha ya Kuprogramu ya R Software Architecture Uuzaji

$179 Average bid

$179 Wastani wa Zabuni

55 zabuni

Zabunia sasa

Predictive Analysis of Internal Data

3 siku left

I’m looking for someone who can turn our raw internal database records into forward-looking insights. The data is already well-structured in SQL tables; what I need now is a predictive layer that helps us forecast key metrics and identify the drivers behind them. You’ll have direct read-only access to the relevant tables along with a short data dictionary. From there, please choose the techniques and tools you’re most comfortable with—whether that’s Python (pandas, scikit-learn), R, or another established machine-learning framework—so long as the final model is reproducible and the code is clearly documented. The deliverable I expect is a concise notebook or script that: • cleans and preps the data, • trains and validates at least one...

Uchambuzi wa Data Data Science Ujifunzaji wa Mashine (ML) Uchambuzi wa Utabiri Python Lugha ya Kuprogramu ya R SQL Takwimu

$78 Average bid

$78 Wastani wa Zabuni

40 zabuni

Zabunia sasa

Predictive Churn Model for E-commerce

1 saa left

Project Overview: ChurnGuard Objective: To identify why customers are leaving an E-commerce platform and build a high-accuracy Machine Learning model to predict future churn. Data Preparation & Cleaning Dataset Size: Analyzed a dataset containing over 5,600 customer records with 20 different attributes. Handling Missing Values: Identified "holes" in columns like Tenure and DaySinceLastOrder. Used Median Imputation to fill these gaps, ensuring no data was lost while maintaining statistical accuracy. Feature Encoding: Converted categorical text data (like Gender and Category) into numerical format using Label Encoding so the AI could process the information. Exploratory Data Analysis (EDA) Churn Distribution: Discovered that approximately 17% of customers had churned (left t...

Uhifadhi wa Wateja Uchambuzi wa Data Data Mining Data Science Uwasilishaji wa Takwimu Uchambuzi wa Utabiri Lugha ya Kuprogramu ya R Uchanganuzi wa Takwimu

$227 Average bid

$227 Wastani wa Zabuni

27 zabuni

Zabunia sasa

Advance statistics

3 siku left

analysis of variance (ANOVA) and regression analysis. Key requirements: - Analyze numerical and categorical data - Identify relationships between variables - Provide detailed interpretation of results Ideal Skills: - Proficiency in statistical software (e.g., R, Python, SPSS) - Strong background in statistics and data analysis - Experience with complex datasets - Ability to explain statistical concepts clearly Please ensure you have relevant experience and skills.

Python Lugha ya Kuprogramu ya R Takwimu SPSS Uchanganuzi wa Takwimu Takwimu

$126 Average bid

$126 Wastani wa Zabuni

7 zabuni

Zabunia sasa

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