Iris dataset pandas işler

We need to verify the information we have for our prospects. We have about 3000 contact we need to search if they are still employed at the company, relocated to a new position and if there linkedin account is missing it need to be added. The ideal freelancer for this job shoul...company, relocated to a new position and if there linkedin account is missing it need to be added. The ideal freelancer for this job should have: - Proven experience in web scraping and specifically from LinkedIn - Strong understanding of data privacy laws and LinkedIn's terms of service - Ability to deliver clean and accurate data - Good communication skills for potential follow-up work on this dataset. Please provide an overview of how you would approach this project and any relevant exper...

I'm in need of a skilled Python developer with expertise in data analysis. Your main task will be to help me analyze and derive insights from a set of data. Key skills needed: - Python: Proficiency in Python is a must. - Data Analysis: Previous experience in data analysis and the use of relevant libraries like Pandas and Numpy is highly preferred. - Communication: The ability to translate complex data into clear, actionable insights is crucial. The project doesn't have a tight deadline, so I'm more focused on finding the right candidate with the right skills and experience. Aim for quality over speed.

I'm in need of a versatile data scientist who can expertly navigate both Python and R. For this assignment, you should be proficient in various data analysis techniques including: - Predictive modeling - Data visualization - Statistical analysis The dataset I'll provide comes in Excel format. Your task will be to demonstrate these techniques in Python and R as accurately as possible. Please submit a bid if you're confident in your ability to efficiently illustrate professional-level data analysis in both languages. For now, I only need Part 1 and Part 3 to be done. Part 1 has multiple subparts and should be done in R language. While Part 3 should be done in Python

I'm in need of someone making my small dataset that's composed of speech recordings in French and their corresponding transcripts to be trained by my computer. This dataset will be used to train a speech recognition system. Requirements: - Dataset is 40 minutes long. - Transcripts must be accurately matched with the corresponding audio files. Ideal Skills: - Experience working with audio data and creating datasets. - Knowledge of Coqui AI. Please make sure to provide samples of your previous work and experience with similar projects.

I need a Python expert to perform data analysis on my database. Key Requirements: - Proficiency in Python: You should be well-versed in Python and its data analysis libraries such as Pandas and NumPy. - Database Management Skill: Experience with database systems would be helpful as the data is stored there. - Data Analysis Expertise: You should have a strong background in data analysis to make meaningful insights and reports from the database. Please note that the database management system is not specified, so you should have a good understanding of different database systems, preferably MySQL, MongoDB, or PostgreSQL. Your ability to work with different systems and extract relevant data will be crucial.

I'm in need of someone making my small dataset that's composed of speech recordings in French and their corresponding transcripts to be trained by my computer. This dataset will be used to train a speech recognition system. Requirements: - Dataset is 40 minutes long. - Transcripts must be accurately matched with the corresponding audio files. Ideal Skills: - Experience working with audio data and creating datasets. - Knowledge of Coqui AI. Please make sure to provide samples of your previous work and experience with similar projects.

I have a comprehensive car specifications database that houses over 1000 records. My primary objective is to clean this dataset, ensure the representation of key attributes such as car model, engine size, fuel efficiency, and fuel emission are correct. I then need to apply Principal Component Analysis (PCA), Clustering, and Partial Least Squares (PLS) regression techniques to the data. Key Requirements: - Data Cleaning: Ensuring all values are in their correct form - Feature Selection: Focus on Car model, Engine size, Fuel efficiency, and fuel emission values - Principal Component Analysis (PCA): For dimensionality reduction - Clustering: To identify inherent patterns and groupings within the data - Partial Least Squares (PLS): For regression analysis Ideal Skills and Experience: ...

I'm seeking a Statistical Analyst capable of conducting an inferential analysis of a given survey dataset. Your task will mainly center around testing hypotheses related to the statistical significance of injuries by gender and the difference in knowledge levels. Key Responsibilities: • Thoroughly examine the dataset to gain an understanding of the variables. • Conduct hypothesis testing on two key areas: - Number of injuries by gender - Differences in knowledge profiles Skills and Experience Required: • Solid statistical background, particularly in Inferential Statistics • Experience with Survey data analysis • High-level proficiency in statistical analysis tools/software • Excellent attention to detail and data interpretation s...

I am looking for a discussant who can bring my project to success with their advanced knowledge in statistical methods, particularly maximum likelihood estimation. Here's some more details: - Software to be used: Orange - Dataset size: Less than 1GB Your role will involve implementing effective statistical solutions to logical regression using Orange. Ideal Skills and Experience: - Proficient in maximum likelihood estimation - Excellent mastery of the Orange software - Experience in handling datasets of up to 1GB - Able to deliver interpretations of analysis in a non-technical way. Kindly provide examples of similar projects you've done in your proposal.

...ideal. I appreciate your consideration and look forward to potentially working with you. Paid project: remote work  Seeking Assistance: Categorizing Online Menu Data in Excel Hey guys, I hope you're doing well! I'm reaching out because I could use your expertise for a project I'm working on involving categorizing online menu data in Excel. Project Overview: I'm currently working on organizing a dataset of food items sourced from online menus for a new project, and I need help categorizing them into specific groups. For example, we have categories like "Tiffin" or "Breakfast" and subcategories such as "Idly," "Dosa," etc. Additionally, for more granularity, if a user selects "Idly," we'd have further...

...out-of-samp General Instruction: • We would like you to on the one hand, approach the problem from a practical perspective, and on the other hand, have a systematic methodology. You are encouraged to go beyond the requirements mentioned and use the quantitative techniques you have to solve the problems. • The final report is expected to contain the following components: – Introduction to the dataset you use, the data format and the steps you perform for data pre-processing. – Brief introduction to the models you use in the project. – Detailed discussion for the model evaluation: proper choice of evaluation criterion (or loss function), out-of-sample test, comparison to benchmark models. – Detailed explanation on how model parameter...

I'm in need of an expert who can disable the pin login feature of my Windows Hello project. Key tasks for this job include: - Disabling pin login permanently - Maintaining facial recognition, fingerprint recognition, and iris recognition features Ideal candidates should have the following: - Proven experience in manipulating Windows user settings, specifically login features - Solid understanding of Windows security measures In your application, please include: - Examples of past work related to disabling login features - Potential challenges and your proposed approach to this project Looking forward to seeing the capabilities of interested parties.

I need Tableau story to analyze for this question research topic: "Has the Fed's strategy been effective?". I have my pending work of Tableau and dataset here. I need to finish it to be clear and details for my project. The story from Tableau should: Describe the general topic of the presentation and give some general background on the topic. Clearly articulate the question: "Has FED's strategy been effective?" Show and explain several graphics that address the question or questions you posed. These graphics must be clearly labeled, including titles, axis labels, and legend labels. Add annotations where appropriate. Conclude by reiterating question give the best answer or answers you can based on graphics.

Create a data dashboard using any publicly available dataset to tell a compelling story in an area of your choosing. This dashboard should offer insightful analyses highlighting trends, challenges, or opportunities within the selected field. You will conclude this project by creating a video presentation that explains your dashboard and its insights. More details will be shared via chat

Create a data dashboard using any publicly available dataset to tell a compelling story in an area of your choosing. This dashboard should offer insightful analyses highlighting trends, challenges, or opportunities within the selected field. You will conclude this project by creating a video presentation that explains your dashboard and its insights. Details of Assignment 1. Dataset and Topic Selection: Choose any publicly available dataset that interests you, whether related to environmental issues, public health, economics, sports, finance, real estate, or any other field. The key is to select a topic that allows for insightful data analysis and storytelling. 2. Tool Selection: You can use any data visualization tool you are comfortable with, such as Microsoft Excel,...

This is a small project about Transformers to a problem of interest. You can pick any problem/dataset and implement a Transformer-based model to conduct a task (e.g., classification, regression, etc.) should consist: 1. Description of dataset/task. 2. Transformer Implementation 3. Transformer component changes. anything you need to change to make the model perform the task at hand (e.g., embeddings, output layer, etc.) 4. Training/Evaluation.

...creating a two-model neural network code, in Python, for classifying a car crash dataset. The dataset I'm working with is from Kaggle's Car Crash CCD. I need a freelancer who can not only create this code but also provide a detailed explanation of the work process and how the models function within the provided code. The freelancer should have: - High level understanding and experience in Python programming - Extensive knowledge and experience with neural networks - Ability to clearly explain complex programming models - Experience with Kaggle datasets is a bonus The scope of the project includes: - Data cleaning and preparation, if needed - Building two neural network models for classification of dataset - Providing a detailed explanation of the proce...

Hi, I want to create a proof-of-concept of a model that can search and retrieve information using microsoft document intelligence api with python code. As its a proof-of-concept a simple dummy dataset should suffice. My aim is to create a proof-of-concept for an Azure Ai Doc model that analyzes contracts and stores the output in a format that can be searched with using certain keywords.

...movement over xdays xPCMax = 10 // Percent variation xdays = 8 // number of days over which the variation is calculated Percent= (close/Close[xdays]-1)*100 with the condition: Percent >= xPCMax Then on the list of actions, you can select one of the filters from a drop-down list. Filters can be deleted, modified etc... Filters must be able to handle 4 conditions maximum. The yfinance, numpy and pandas libraries are installed on a dedicated PHP server...

I'm seeking a proficient Python expert to help analyze my company's sales data. This project would involve understanding the nuances of our sales trends, so proficiency in analyzing and summarizing large datasets is vital. - Task: The main task is data analysis. This will involve interpreting sales data and offering actionable insights that can help drive my company's sales strategy....will be working with sales data. This requires a deep understanding of how sales trends are interpreted and the skills to summarize these findings effectively. Ideal Skills and Experience: - You should be a Python expert, with a solid background in data analysis. - A strong understanding of sales data and trends is needed. - Exposure to any kind of statistical package is a bonus (e.g., Nump...

I'm in need of a skilled data analyst who can help me identify trends and patterns in my dataset. The main objective of this project is to explore the data in depth and recognize any significant trends that can be leveraged for strategic decision making. Key Tasks: - Conduct thorough data analysis - Recognize patterns and trends - Formulate hypotheses for testing Ideal Skills: - Strong background in data analysis - Experience with hypothesis testing - Ability to identify and interpret trends - Strong collaboration and communication skills The project will require close collaboration to formulate hypotheses for testing, as the dataset is significant and complex. The end goal is to gain valuable insights that inform our strategic planning.

I need a Python expert to extract data from a website without using APIs. This is a one-time task. Once the data is extracted, I would like the freelancer to perform data filtering and analysis using Pandas. Finally, I need the results to be saved to a CSV file. Key Tasks: - Extract data from a website (data specifics to be provided) - Data filtering and analysis using Pandas - Save results to a CSV file Ideal Skills: - Strong Python programming skills - Experience with data extraction from websites - Proficiency in data analysis with Pandas - Ability to save data to CSV files. Chat with me for full document with details! Simple project!

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...India. We have some reference articles we want to use and replicate some of the results, in addition to adding something new. We have a dataset for the given variables ready and an R code that need adjustments in order to run properly and fix some bugs. Key Project Details: - **Scope:** Your task will involve examining the impact of the following macroeconomic variables on Indian house prices (HPI): GDP growth rate, CPI, Interest rates, FDI, and REER. - **Time Period:** The analysis should cover both short-term and long-term trends, typically an ARDL model. We also would like to separate out the Covid years in order to see these effects. -**We have a dataset with the relevant variables, almost finished R script with explanations. But will need help to get all the code...

i want to make chatbot for customer service using machine learning. make dataset from scratch like make answer and question. need cheap price. using python and machine learning or deep learning or etc. using google colab it's ok.

I'm in need of a skilled data scientist who can work with financial data ( balance sheets and income statements) to identify anomalies. The primary goal of this analysis is to detect any irregular patterns in the dataset. I have XBRL files online and I don't know how to read them. Ideal Skills and Experience: - Proficient in Python and data analysis libraries - Previous experience with financial datasets - Strong understanding of anomaly detection techniques - Experience visualizing data through charts and graphs.

I have a detailed list of 45 requirements that need to be implemented into an Excel report. The primary goal of this report is data analysis. Key Responsibilities: - Implement 45 requirements into an Excel report - Ensure all requirement...implemented into an Excel report. The primary goal of this report is data analysis. Key Responsibilities: - Implement 45 requirements into an Excel report - Ensure all requirements are met accurately - Optimize the report for effective data analysis The ideal candidate should have: - Proficiency in Python - Experience working with Excel - Strong understanding of data analysis - Proficiency in Pandas and NumPy If you have experience with similar projects and are confident in your ability to provide thorough, accurate work, please submit your...

I have a detailed list of 45 requirements that need to be implemented into an Excel report. The primary goal of this report is data analysis. Key Responsibilities: - Implement 45 requirements into an Excel report - Ensure all requirement...implemented into an Excel report. The primary goal of this report is data analysis. Key Responsibilities: - Implement 45 requirements into an Excel report - Ensure all requirements are met accurately - Optimize the report for effective data analysis The ideal candidate should have: - Proficiency in Python - Experience working with Excel - Strong understanding of data analysis - Proficiency in Pandas and NumPy If you have experience with similar projects and are confident in your ability to provide thorough, accurate work, please submit your...

...generating meaningful visualizations from diverse datasets. You should be proficient in Power BI and RStudio and have a knack for finding, cleaning, and analyzing datasets for visualization. The expert should be able to critically evaluate the visualizations ### Desired Visualizations * Bar charts * Line graphs * Scatter plots * Innovative visualizations that can creatively represent data ### Dataset * Tasked with finding relevant datasets in any field or industry, your creativity and analytical abilities will be crucial. Whether it's Finance, Healthcare, or Social Media, your prowess will help us make sense of the different data types. Ideal skills/Experience: * Extensive experience in data visualization * Proficiency in Power BI and RStudio * Exceptional data wranglin...

I need help downloading the "Longitudinal Behavior Modeling Dataset" from for conducting research analysis. Key Requirements: - Download the "Longitudinal Behavior Modeling Dataset" in CSV format from the provided URL. - No specific preprocessing or analysis tools are required for this project. Ideal Freelancer: - Experience in data downloading and handling. - Proficiency in accessing and managing data from online repositories. - Knowledge of how to effectively convert and save data in CSV format.

We are seeking a skilled freelancer to collect, structure, and analyze historical data from space missions. The goal is to build a comprehensive dataset that can be used to evaluate past mission trajectories, orbital maneuvers, burn times, and other relevant parameters. This dataset will not only help identify potential areas of improvement for past missions but also aid in developing sophisticated software for future space mission planning. This software will leverage machine learning to predict and optimize mission outcomes. Task Objectives: 0. Data sourcing. Find sources. Sources of this data could include NASA, ESA, Roscosmos, and other space agencies' official databases, academic journals, and verified public datasets. Create summary Excel table with link to source...

...need of a python programmer proficient in object detection and tracking for my ongoing ADAS project, specifically centered around the KITTI dataset. Primary Responsibilities: - Execute object detection and tracking tasks - Calculate evaluation metrics such as Precision-Recall Curve, Intersection Over Union (IoU), Improved Intersection Over Union (iIoU), and Mean Average Precision (mAP) Skills and Experience: - Advanced proficiency in Python - Extensive experience in computer vision - Expertise in object detection and tracking - Solid understanding of Precision-Recall Curve, IoU, iIoU, and mAP metrics - Knowledge and previous work with the KITTI dataset is highly desirable - Experience in ADAS technology would be a bonus The perfect candidate would be an individual wi...

I have a medium-sized Excel dataset that needs to be cleaned and analyzed. The tasks include formatting cells, filtering, and sorting data. Moreover, I'm looking for a professional who can conduct statistical analysis on this dataset. Key tasks: - Formatting cells: This involves making sure that the data is presented in a readable and visually appealing format. - Filtering and sorting: The freelancer should be able to organize the data in a way that makes it easy to understand and analyze. - Statistical analysis: The dataset needs to be analyzed statistically. This means that the freelancer should be proficient in statistical tools and techniques. Ideal candidate: - Proficient in Excel: The freelancer should have excellent skills in using Excel for data cleaning...

...system. - Providing recommendations on how to optimize the performance of the chosen LLM. - Set up a local testing environment (chatbot, playground dashboard, Jmeter 5.5) - Set up a cloud server (API server) - Google Colab, Jupyter Notebook - All configuration, test scripts in python, bash and exe) - Dockerized images for future implementation - Our Korean dataset of 20,000 published to HuggingFace workspace based on an existing Korean dataset - documentation 1. testing items/procedures 2. instructions, manuals of this project. You will also be required to integrate the API server with third-party APIs. Experience in this area is highly beneficial. Ideal Skills: - Strong expertise in Python programming. - Previous experience in performance testing, specifically LLMs. ...

I'm seeking an expert to enlighten me on the intricacies of training and fine-tuning pretrained LLM models. My goal is to leverage these models for text generation, text classification, and question-and-answer applications. To that end, the key areas of focus during our Q&A session will be: - Strategies to choose the right dataset for these applications. - Techniques to optimize hyperparameters to realize optimal performance. - Ways to counter overfitting issues to guarantee model generality. For this project, Python will be our preferred programming language. Ideal bidders should have solid experience in Python and a deep understanding of LLM models. Your proficiency in handling overfitting, optimizing hyperparameters, and selecting appropriate datasets will be invalua...

I'm looking for a Python developer with experience in building Generative Adversarial Networks (GANs) for image generation. Key Responsibilities: - Develop a Conditional GAN in Python: Utilize Python's libraries and frameworks to create a Conditional GAN. - Image Generation: The primary application of the GAN will be to gen...Generation: The primary application of the GAN will be to generate images. Requirements: - Proficiency in Python: Strong experience in Python programming is essential. - Experience with GANs: Proven track record of building GANs for image generation. - Understanding of Conditional GANs: Familiarity with the concept of Conditional GANs and their application. Dataset: - I have a dataset prepared for training the model. You will work with this ...

I am looking for a sizable tabular dataset that consists of over 50,000 records and more than 100 features. The data should include a balance of categorical and numerical data types. Being specific, it could be related to the Healthcare or finance industry. It could be used for Data analysis, machine learning. I am open to diverse datasets that could support various investigations. The ideal freelancer for this project would be someone with impressive experience in data gathering or data creation, particularly in the healthcare field. They should have good knowledge of categorical and numerical data, and a good understanding of sizable databases. They should also be committed to maintaining the integrity and confidentiality of the information.

I'm seeking a talented data expert to create a high-quality dataset in nuScenes format. It'll involve both synthetic and real world data, primarily focused on object detection for vehicles. PCD files and tutorial on how it was done will be included. Ideal Skills and Experience: - Strong proficiency in handling and processing both synthetic and real data - Background in creating datasets for object detection, particularly for autonomous driving or similar applications - Familiarity with nuScenes or similar dataset formats - Attention to detail and ability to curate and label data with precision - Experience in handling vehicle data specifically would be a plus.

I'm looking for a professional to enhance my existing machine learning code. I have done the following steps: 1.) data download 2.) EDA 3.) Features engineering 4.) Model training Next (Todo) Given a new schedule of upcoming matches (live data) 1.) Make Live predictions. This involves preprocessing a new (unknown) dataset using the features engineering methods above. 2.) Apply (new_preprocessed_data) and model.predict_proba(new_preprocessed_data)

I'm looking for a programmer who can help me create a time series forecasting model using Python. The main aim is to predict the future default rates on lending loans based on past data....taken loan for a different time period at different months. Use all data of all customers to predict the future default rates based on the given data. Moreover, if a new customer takes loan what would have been the default rates of that customer if the customer had joined some time back in the past. Ideal Skills and Experience: - Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy) - Strong understanding of ML Model especially LSTM will be preferrable. Your deliverables will include the forecasting code, any preprocessing steps needed, and documentation on how to...

Project Title: Creation of a Labeled Hair Color Dataset Description: The objective of this project is to create a high-quality, diverse, and labeled hair color dataset. The dataset will be used for the development and testing of machine learning algorithms related to hair color recognition and classification. This project will take place in two steps: Step 1: Initial Testing Phase We require a collection of 500 high-quality images, with 100 images for each of 5 distinct hair colors.(Black, Brown, Blond, Red, Gray) This initial batch is intended for quality assurance to ensure our requirements are met. Step 2: Expanded Dataset Upon satisfactory completion of the first step, we would proceed to the second step which involves the collection and labeling of 20...

I need an experienced data scientist or AI specialist to assist with evaluating a Korean dataset using OpenAI API calls. my goal is to set up a good testing template I can repeat Key Aspects: - Inference Speed: Achieving a balance of optimal inference speed is vital for this project. The desired inference speed for the evaluation stands at a moderate level when considering 2000 users. - Total Processing Accuracy: I'm looking to ensure the total processing accuracy of this evaluation is high. - TPA (Total Processing Accuracy): Aspects of TPA are crucial for this project; we aim for a balanced importance between total processing accuracy and inference speed. (<1 /s is imperative) - Implement this on a shared googleColab or Jupyternotebook for on-demand use of the application ...

I am seeking assistance with the statistical data analysis of a budget. The nature of the project involves: - Analyzing and interpreting complex numerical data surrounding a specified budget. - Employing statistical methodologies to determine trends, correlations, and patterns in the dataset. Ideal skills and experience would be: - Expertise in data analytics, with a strong foundation in statistical data analysis is necessary. - Previous experience in budget analysis would be a significant advantage. - Proficiency in using software for data analysis and reporting is desired.

I'm looking for a coder with expertise in Python and, i...The goal is to create a classifier that can distinguish between two classes - 0 and 1 - based on edge weights. Key Task Components: 1. Use of Python programming language for GNN classifier implementation. 2. Incorporate UNSW-NB15 Dataset to structure the graph with nodes and edges. 3. The classifier should focus specifically on the features of edges for classification. 4. Deliverable will be a GNN implementation that will classify edges of the graph using edge features This project requires knowledge of Python, GNN, and familiarity with the UNSW-NB15 Dataset. Your ability to conceptualize, develop and deliver a working GNN classifier, focusing on edge weights, is essential. Previous experience with edge cla...

I'm looking for a skilled data scientist to assist with a predictive modeling project. **I am interested in creating a project for my portfolio to land my first job as a data analyst/ scientist.** - The dataset: While I haven't specified the type of data, you should be able to work with a variety of data types, including text, numeric, and/or image data. - Required skills: Your application should include a detailed project proposal showcasing your expertise in predictive modeling. - Project Goal: The primary aim of this project is to build a predictive model, which will require a deep understanding of data science concepts and techniques. Ideal skills for this project include: - Strong background in data science and predictive modeling - Proficiency with a variety of ...

I'm looking for a professional to enhance my existing machine learning code. I have done the following steps: 1.) data download 2.) EDA 3.) Features engineering 4.) Model training Next (Todo) Given a neschedule of upcoming matches (live data) 1.) Live prediction. This involves preprocessing a new (unknown) dataset using the features engineering methods above. 2.) Apply (new_preprocessed_data) and model.predict_proba(new_preprocessed_data)

I am seeking an expert with proficiency and accuracy in data cleaning and data entry. The project involves handling a significant dataset of more than 1000 records. The data, currently in Excel spreadsheets, needs proper cleaning—deleting duplicates, handling missing entries—and subsequent entry into a new, streamlined database. Ideal Skills: * Expertise in Excel and spreadsheet management * Proficiency in data cleaning techniques * High-speed data entry with attention to detail Experience: * Experience handling large data sets * Previous work in data cleaning and data entry operations With your help, this project will result in accurate, well-organized, and easily-accessible data, which will make an enormous difference in how we run future analyses and make informed ...

I need a seasoned statistician and data analyst proficient in Stata software to execute comprehensive data analysis for me. Key Tasks: - Conducting descriptive statistics, hypothesis testing, and regression analysis on a sizable dataset. - Ensuring that the analysis is thorough, accurate, and adequately covers all variables in the dataset. Specifics: - The dataset is quite large, requiring meticulous handling, especially in terms of time taken for the analysis. - There are a significant number of variables, which implies a considerable volume of data to process. Ideal Candidate: - Must be a Stata expert with proven experience in handling extensive data analysis. - Statistician background is beneficial, as a thorough understanding of statistical tests is required. ...

hi we are working on a dataset that has similar kind of cases but they belong to different classes. we would like to see the similarity between them based on the tf_IDF values between them.

I'm seeking a skilled AI developer to create a cutting-edge Large Language Model (LLM) that can handle a wide range of text-to-text tasks. This model should be built from the ground up, using my provided dataset as the foundation. Key Requirements: - Creation of a Large Language Model: The core functionality of this AI model should be the ability to interpret and generate varied text inputs, in all languages. - Versatile Text-to-Text Tasks: The model should be equipped to handle diverse text-to-text tasks - from language translation to text summarization and chatbot responses. Ideal Candidate: - Extensive AI Development Experience: As the project demands the creation of a sophisticated LLM, prior experience in developing advanced AI models is essential. - Proficiency in Natu...