Numba numpy jobs
The task? To extract and clean the PyPortfolioOpt library. You've got to remove classes and distill the features in question to simple, functions – using only Python and numpy. However, cvxpy can remain throughout the process. What to deliver: A colab notebook prooving how you code (as short as possible) results in the same answer as the following code: ef = EfficientFrontier(Means, Cov_Matrix, weight_bounds=(0, 0.1)) weights = ef.max_sharpe() source codes:
...Python. When the user clicks an image of themselves and chooses a jewellery product (Necklace, earrings etc), the output is the user wearing that particular jewellery **Preferred Skills and Experience:** - Proficiency in Python programming. - Extensive experience with OpenCV (CV2) for image manipulation and analysis. - Familiarity with data analysis libraries (though not mandatory, knowing Pandas, NumPy, and SciPy is a plus). - Strong background in algorithms related to image processing and object detection. - Ability to work independently on complex data analysis tasks. **What I'm Looking For:** A developer who can deliver efficient code with clear documentation. The ideal candidate should also be able to provide insights and suggestions for best practices in image-based ...
...will involve the development of models based on provided data sets, implementing algorithms that can predict, optimize, or unravel complex systems. - You will need to collaborate closely with me to understand the project's objectives, refine the models, and iterate based on results. **Expectations:** - High level of proficiency in Python, specifically its scientific computing libraries (e.g., NumPy, SciPy, Pandas). - Ability to communicate complex mathematical ideas in a concise and understandable manner. - Strong analytical and critical thinking skills, with a methodical approach to problem-solving. Successful applicants will demonstrate not only a rich background in mathematical modeling and Python but also an eagerness to tackle challenging problems head-on. If you are ...
...trajectories from Lidar point cloud data. - Ensure the algorithm can process data in pcap format and output detected trajectories in a CSV format. **Ideal Skills and Experience:** - Strong proficiency in machine learning, specifically in developing algorithms for spatial data analysis. - Extensive experience with Lidar data, especially in pcap format. - Proficiency in Python, including libraries such as NumPy, Pandas, and PCL (Point Cloud Library) or equivalent for point cloud processing. - Familiarity with data serialization formats, particularly CSV for output. - Ability to work with large datasets and optimize algorithms for performance and accuracy. - Experience in vehicle detection and tracking algorithms is a huge plus. **Project Deliverables:** - A fully functioning ML a...
...especially in classification tasks using 3D point cloud data. - Expertise in data compression techniques, particularly those suitable for 3D point clouds, with a focus on lossy compression. - Experience with machine learning frameworks such as TensorFlow or PyTorch. - Knowledge of programming in Python, and familiarity with libraries related to 3D data processing such as PCL (Point Cloud Library), NumPy, etc. - Understanding of the trade-offs between data integrity and size reduction. - Ability to optimize algorithms for efficient processing and storage. ### Project Requirements: - Analyze existing 3D point cloud data to identify and classify objects accurately. - Design and implement a lossy compression algorithm that significantly reduces the size of the 3D point cloud data ...
...classification results. **Ideal Skills and Experience:** - Proficiency in data mining techniques and tools. - Strong background in statistical analysis and mathematics. - Experience with machine learning algorithms, especially those relevant to classification tasks. - Expertise in programming languages commonly used for data science, such as Python or R, with a special emphasis on libraries like Pandas, NumPy, Scikit-learn, and TensorFlow. - Familiarity with data visualization tools for presenting findings in a comprehensible manner. - Prior experience with large datasets and the ability to optimize algorithms for performance and accuracy. The successful freelancer will need to demonstrate a keen analytical mind, a meticulous approach to problem-solving, and a solid track recor...
...Python. When the user clicks an image of themselves and chooses a jewellery product (Necklace, earrings etc), the output is the user wearing that particular jewellery **Preferred Skills and Experience:** - Proficiency in Python programming. - Extensive experience with OpenCV (CV2) for image manipulation and analysis. - Familiarity with data analysis libraries (though not mandatory, knowing Pandas, NumPy, and SciPy is a plus). - Strong background in algorithms related to image processing and object detection. - Ability to work independently on complex data analysis tasks. **What I'm Looking For:** A developer who can deliver efficient code with clear documentation. The ideal candidate should also be able to provide insights and suggestions for best practices in image-based ...
...freelancer to undertake a project focused on data analysis using Jupyter notebooks. The primary goal is to analyze scientific research data to uncover insights, patterns, or anomalies. The ideal candidate should possess a strong background in data science, with specific expertise in handling scientific datasets. **Requirements:** - Proficiency in Python, particularly with libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization. - Experience in handling large datasets, preferably scientific or research data. - Ability to communicate complex data insights in an understandable manner. - Knowledge of statistics and machine learning algorithms is a plus. **Project Scope:** - The data will be provided via email in a compressed file format. The freelanc...
...**Trading Strategy:** It should employ cutting-edge machine learning algorithms to identify trading opportunities. The approach can be fully automated or a hybrid model that also suggests trades for manual execution. Your input on the best course of action is welcome. - **Experience and Skills:** - Proficiency in Python and libraries relevant to data analysis and machine learning (e.g., Pandas, NumPy, scikit-learn, TensorFlow, or Keras). - Previous experience in developing trading scripts or bots, with a strong understanding of the financial markets. - Ability to implement machine learning algorithms that can adapt to market conditions. **What to Include in Your Application:** Although not mandatory, including examples of past work or detailed project proposals could grea...
...freelancer to undertake a project focused on data analysis using Jupyter notebooks. The primary goal is to analyze scientific research data to uncover insights, patterns, or anomalies. The ideal candidate should possess a strong background in data science, with specific expertise in handling scientific datasets. **Requirements:** - Proficiency in Python, particularly with libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization. - Experience in handling large datasets, preferably scientific or research data. - Ability to communicate complex data insights in an understandable manner. - Knowledge of statistics and machine learning algorithms is a plus. **Project Scope:** - The data will be provided via email in a compressed file format. The freelanc...
...to optimize geospatial triangulation techniques, providing insights and improving accuracy. - Developing algorithms tailored for predictive modeling based on real-time geospatial data. - Creating dynamic data visualizations to represent the analyzed data in an understandable and actionable manner. **Skillset & Experience:** - Proficient in Python programming, especially libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization. - Experience in geospatial data analysis with tools such as QGIS or ArcGIS. - Knowledgeable in working with real-time data streams and implementing predictive models. - Strong analytical skills with a focus on detail and accuracy. This project is critical for enhancing our real-time location services and requires a freelancer w...
I am looking for an experienced machine learning engineer to develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learn...stock data which alerts me on specific pattern recognitions provided by me. Looking for: - Proficiency in machine learning and predictive analytics. - Experience with financial datasets, specifically historical stock data. - Strong understanding of stock market dynamics. - Ability to work with time-series data. - Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn. - Previous experience in building models for financial markets is hi...
...scripts for automating the extraction of data from specified APIs. - Implement data analysis techniques to process and extract meaningful information from large datasets. - Design and generate graphs and visuals that accurately represent the analyzed data for easier understanding and presentation. **Skills and Experience:** - Proficient in Python programming, especially with libraries like Pandas, NumPy for data analysis, and Flask or Django for web development. - Strong experience in automation scripts and working with various APIs. - A good grasp of data visualization tools and libraries (e.g., Matplotlib, Seaborn) to create compelling graphs. - Familiarity with data entry and processing automation, particularly in extracting information to create graphs. - Ability to integrat...
...**Trading Strategy:** It should employ cutting-edge machine learning algorithms to identify trading opportunities. The approach can be fully automated or a hybrid model that also suggests trades for manual execution. Your input on the best course of action is welcome. - **Experience and Skills:** - Proficiency in Python and libraries relevant to data analysis and machine learning (e.g., Pandas, NumPy, scikit-learn, TensorFlow, or Keras). - Previous experience in developing trading scripts or bots, with a strong understanding of the financial markets. - Ability to implement machine learning algorithms that can adapt to market conditions. **What to Include in Your Application:** Although not mandatory, including examples of past work or detailed project proposals could grea...
I'm in need of a skilled Python developer, with particular expertise in numpy and cvxpy libraries. The task? To extract and clean up the data preprocessing functions from the PyPortfolioOpt library. You've got complete freedom to remove classes and distill the features in question to simple, functions – using only Python and numpy. However, cvxpy can remain throughout the process. A few important notes: • Maintain the original functionality of the refactored code. • Comments are not necessary during the cleanup process. Your deep comprehension of numpy, Python, and cvxpy would be most advantageous in completing this project. ef = EfficientFrontier(Flipped_Means, Cov_Matrix, weight_bounds=(0, 0.1)) weights = ef.max_sharpe...
I'm looking for a skilled data scientist to help me extract meaningful patter...algorithms. - Experience with social media data analytics. Your primary goal will be to analyze the data to uncover hidden insights within social media interactions that can inform business strategy. This will require: - Strong analytical skills to identify key patterns and trends. - Ability to preprocess, clean, and organize social media data for analysis. - Experience with libraries such as Pandas, NumPy, Scikit-learn, and possibly natural language processing libraries if needed. This is a complex investigation requiring keen attention to detail and a deep understanding of how social behaviors translate into data. If your skill set and experience match these requirements, I invite you to bid fo...
I'm looking for a skilled data scientist to help me extract meaningful patter...algorithms. - Experience with social media data analytics. Your primary goal will be to analyze the data to uncover hidden insights within social media interactions that can inform business strategy. This will require: - Strong analytical skills to identify key patterns and trends. - Ability to preprocess, clean, and organize social media data for analysis. - Experience with libraries such as Pandas, NumPy, Scikit-learn, and possibly natural language processing libraries if needed. This is a complex investigation requiring keen attention to detail and a deep understanding of how social behaviors translate into data. If your skill set and experience match these requirements, I invite you to bid fo...
I urgently require a skilled Python developer to perform data analysis tasks. Here are the specifics: - **Core Task**: Perform data analysis using Python. - **Immediate Start**: Need to begin as soon as possible. **Skills and Experience**: - Proficient in Python, especially libraries for data analysis like Pandas and NumPy. - Experience with data visualization (e.g., using Matplotlib or Seaborn). - Ability to work with and analyze large datasets efficiently. - Excellent problem-solving skills and attention to detail. **Project Requirements**: - Quick turnaround while maintaining high-quality analysis. - Provide insights with visual data representations. - Maintain data confidentiality and integrity. **Note**: Though the data type wasn't specified, versatility in handling va...
...which the weights get loaded into. Example scripts of code I tried are included as well. Please see attached "". The breakdown of the PySpeedTest folder is as follows: - The subfolders "Long" and "Short" each contain the weights of 100 Neural Networks (summing up to 200 together). These are saved as PyTorch Tensors. - The input data to be used is: "". This is saved in numpy, as is easily changed to pytorch format in the code. - The python code "" contains the neural network structure, written in PyTorch. This is the same structure for each of the 200 NNs. - The other three python scripts are: 1) "", 2) "", and 3) "". These are example scripts where I tried a few techniques
... Here's what I need from you: - Develop a sophisticated predictive model tailored to enhance website user experience. - Extract actionable insights that can drive decision-making and strategic planning. - Provide clean, compelling data visualizations that communicate complex analysis with simplicity. Required skills: - Expertise in Python and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn). - Proven experience in building predictive models. - Ability to communicate complex data in a clear and effective manner. - Experience with web analytics is a plus. Ideal candidates will possess a strong portfolio showcasing previous predictive modeling projects, preferably within a web context. If you're passionate about using data to tell a story and drive...
I'm currently facing a challenge with my...perform data preprocessing using custom transformers and pipelines - Error Occurrence: Uncertain of the exact point, but it happens around fitting/transforming - Primary Task: Resolve the AttributeError and ensure smooth execution of the code - Secondary Task: Provide an explanation of the fix to aid my comprehension Ideal Candidate Skills: - Proficiency in Python programming - Experience with NumPy and data manipulation - Familiarity with sklearn pipelines and custom transformers - Ability to debug complex errors - Clear communication for educational purposes This engagement requires you to not only fix the issue seamlessly but also ensure that I understand your approach and the reasons behind the error so that I can continue learni...
...analytical capabilities. Key Responsibilities: - Data Preparation: Clean, organize, and structure large datasets for analysis. - Supervised Learning: Implement and optimize models like regression analysis and decision trees. - Unsupervised Learning: Explore clustering analysis to unearth data patterns without labeled outcomes. Ideal Candidate: - Proficient in Python with libraries like pandas, NumPy, scikit-learn. - Strong understanding of statistical concepts: mean, mode, standard deviation. - Experienced in machine learning, both supervised and unsupervised techniques. - Ability to work swiftly with an eye for accuracy. I require assistance as soon as possible, so promptness and dedication will be highly appreciated. If you're confident in your ability to meet these nee...
In search of a skilled data scientist who excels in both analyzing and deciphering complex data sets, both numeric and textual, using Python. Being able to c...analyzing and deciphering complex data sets, both numeric and textual, using Python. Being able to comprehend and utilize these distinctive data types is crucial for the function of this project. The primary task will be data analysis using Python, with critical attention to detail. Ideal Skills and Experience: - Expertise in Python programming and its libraries for data analysis, such as Pandas, Numpy, and Scipy. - Solid experience in handling both numeric and textual data types. - Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and...
I'm in need of a proficient data scientist for my project focusing on the combination of data analysis and machine learning. The ideal candidate will work with numerical data and must be skilled in Python, particularly in libraries pertinent to these tasks like Pandas, NumPy, SciPy, and Scikit-learn. **Core Responsibilities:** - Conduct thorough data analysis on numerical datasets. - Apply machine learning techniques to discover trends and patterns. **Skills Required:** - Strong proficiency in Python programming. - Experience with data analysis and visualization tools. - Solid understanding of machine learning algorithms. **Experience Necessary:** - Proven record of handling numerical data efficiently. - Prior projects involving predictive modeling. With your expertise, I ...
SDN Network Performance Measurement 1. Knowledge of network simulator mininet and SDN networks (using POX/Daylight etc) - to be able to create a topology 2. Knowledge of reinforcement learning - should be able to create agents using different algorithms. Knowledge of tensorflow, Keras, Numpy, Pandas, Scikit learn etc would be useful
I'm in urgent need of a Python pro efficient at executing complex database queries! - TASKS: - Develop complex SQL queries in Python - Manipulate and handle large data sets - Ensure optimal query performance - REQUIREMENTS: - Proven Python programming skills - Strong SQL query writing experience - Familiarity with data manipulation libraries (Pandas, NumPy, etc.) - Experience with ORM libraries (SQLAlchemy, Django ORM) is a plus - Ability to optimize queries for performance The ideal candidate will have a track record of handling complex data sets and delivering efficient and effective query solutions. If you have the knack for turning data chaos into insightful results, I need you on this project. Please share your experience with similar tasks and any relev...
Machine Learning Course Creation (Good Quality Video content) Specific areas to be covered within the course include: - Goggle colab skills, Good video content making skills. - ML Libraries(Numpy, Pandas, Matplotlib...) - Data Preprocessing techniques - Supervised Algorithms(5) - Unsupervised Algorithms(5) Our prospects will primarily be Python users, hence we'd appreciate an instructor who's proficient in this programming language. The candidate must have previous experience creating educational content and should be able to present complex concepts in an easy-to-understand manner to foster effective learning.
...structural configuration, and thermal insulation. - Skills And Experience: You should be experienced in Python and familiar with the NumPy library. Previous knowledge of analyzing building properties would be beneficial but not essential. - Task Description: The final result will be a Python model that can handle various physical properties and draw conclusions about building dynamic performance. - Algorithm: Your model should utilize numerical methods suitable for the analysis, such as Finite Difference Method, Spectral Method or Finite Element Method. Please, decide on best suited method carefully. - Python Libraries: Our preference lies with NumPy, but an understanding of Pandas and TensorFlow might open new possibilities. I look forward to potentially working ...
...cleaning and preprocessing, advanced statistical analysis, creating predictive models, or building and implementing machine learning algorithms. Additionally, there might be a component of designing robust data visualizations or identifying anomalies within datasets. It is essential that freelancers possess: - Proficiency in Python or R - Experience with data manipulation tools (e.g., pandas, NumPy) - Knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow) - Strong background in statistics and mathematics - Aptitude for creating intuitive data visualizations - Past demonstrated success in the relevant area of Data Science - Excellent problem-solving skills and a methodical approach When applying, it's important that candidates include: - A detailed pro...
I'm in need of an experienced Python coder who can help me analyze market research data with an aim to identify industry trends. The facets of this project will include: - Fluency in Python for data analysis, which is key to successfully completing this project - Proficiency in utilizing Python libraries relevant to data analysis, such as Pandas and NumPy - Experience in handling and analyzing market research data is desirable - The aim is to use the analyzed data to identify key trends in the market landscape The perfect candidate for this project should be able to deliver accurate results efficiently and provide insights based on the identified trends.
...I need: - Design and implement a data analysis tool tailored for educational institutions. - Integrating collaborative learning platform features that allow for real-time interaction among users. - Ensure the platform supports comprehensive report generation to facilitate data-driven decisions. Ideal Candidate Expertise: - Proficient in Python with a focus on data analysis libraries (Pandas, NumPy, Matplotlib). - Experience in developing web applications, specifically educational tools. - Familiarity with user account management and implementing secure login systems. Project Goals: - Deliver a user-friendly application focused on analysis and collaboration. - Aid educational institutions in interpreting complex datasets. - Provide a robust platform for staff and students to co...
A comprehensive Jupyter Notebook report for a binary classification model has to be developed. This report will calculate and show: - ROC-AUC - ROC curve - Perf...In the cells only the abbreviation and the calculated values should be given, e.g. SEN = 92.4 % or NPV = 4.2 % Details to Scatter Plot: x-axis nominal (true) values good and bad (column StateNominal ) y-axis probability (column prob_bad ) jittering for x values colored by column subset of General rmarks - Use only very well known packages in python, e.g. pandas, numpy, matplotlib - Documentation has to be included in code - The Jupyter Notebook has to be sent. - Payment will only be done if all parts are done sucessfully. - Everythig has to be done via FreeLancer Deadline: Wednesday (January 17th)
I need an experienced Python developer to complete two main tasks: data analysis that is related to the stock market and GUI (Graphical User Interface) development....GUI developed should be: - Interactive and user-guided analysis enabled A deep understanding of financial markets and prior experience working with stock market data analysis will be considered a big plus. I am looking for someone who can not only code but also provide insights and suggestions based on the analysis. Being well-versed in Python libraries commonly used in data analysis such as NumPy, pandas, and matplotlib is crucial. An understanding of statistics and experience in building user-friendly, effective GUIs are key to succeeding in this role. If this project speaks to you, please do not hesitate to place...
In this project, logistic regression will be used to implement binary classification. This project must be implemented using the Python programming language, and no machine learning libraries can be used during the implementation of the project. You must implement everything from scratch using a numpy array and fundemental Python programming language. The initial code is given, and the tasks which must be implemented are given in the initial code.
I'm looking for a seasoned Django developer who can support the development of user authentication, database integration, and API development for our social network platform. The...Authentication: Experience with setting up registration and login systems to ensure only authenticated users gain access. - Django for Database Integration: Proficiency with Django’s Object-Relational Mapping (ORM) for securely managing the database. - Django for API Development: Expertise in Django Rest Framework for building APIs. I also require integration of additional Python libraries including NumPy, Pandas, and SciPy. Therefore, familiarity with these Python libraries will also be required. This project is an exciting opportunity for someone to demonstrate and expand their Django develo...
Project Title: Python Scripting for Basic Data Analysis Description: I am looking for a freelancer who can help me with a Python script for data analysis. The script should perform the following tasks: - calculate cannibalization rate for outlets in the catchment. cannibalization rate = (loss o...analysis. The script should perform the following tasks: - calculate cannibalization rate for outlets in the catchment. cannibalization rate = (loss of sales from old outlet)/(sales of new outlet) * 100 Skills and Experience: - Proficiency in Python programming language - Strong knowledge of data analysis techniques and concepts - Experience in working with data analysis libraries such as Pandas, NumPy, and Matplotlib - Familiarity with basic statistical measures and visualization ...
...unit testing in Python. Specifically, I need someone who is experienced in using the Unittest module to test the functionality of Python modules such as Numpy, Pandas, and Matplotlib. I already have test cases and test data that I will provide, so the freelancer will not need to create them. However, I am open to any guidance or suggestions on improving the test cases. The target deadline for this project is today, so I need someone who can start working on it immediately and deliver the results within a short timeframe. Ideal skills and experience for this job include: - Proficiency in Python and the Unittest module - Familiarity with Numpy, Pandas, and Matplotlib - Experience in writing and executing test cases - Strong attention to detail and ability to identify and ...
I am looking for a Python developer to create a screener for my project. The purpose of the screener is to filter numerical data ...data - Familiarity with data manipulation and analysis libraries in Python This project requires the ability to efficiently filter and extract numerical data based on a given date range. The ideal candidate should have a solid understanding of data filtering methods and be able to implement them using Python. Additionally, experience with data manipulation and analysis libraries such as Pandas or NumPy would be highly beneficial. Overall, the goal is to create a reliable and efficient screener that can effectively filter numerical data based on specific date criteria. If you have the necessary skills and experience, please submit your proposal for thi...
Project Title: Algo Trading Platform Development Overview: We are looking for a skilled developer to create an algo trading platform using Python. The platform should support option trading and have real-time data updates. Requirements: Programming Language: Python - Proficient in Python programming language - Familiarity with Python libraries such as pandas, numpy, and scipy Trading Type: Option trading - Experience in developing platforms for option trading - Knowledge of option trading strategies and concepts Real-Time Data Updates: Very important - Ability to integrate real-time data feeds and updates into the platform - Experience with APIs and data streaming technologies Additional Skills: - Strong understanding of financial markets and trading principles - Knowledge of r...
More details: What specific tasks do you need the Python developer to handle? Web development,Scripting,Data analysis Are there any specific frameworks or libraries that the Python developer should be familiar with? NumPy,Pytorch,NLTK What is the primary goal or objective of the project? Building a web application And also software
I am looking for a Python developer who can create an analysis bot that specializes in data analysis. The bot should be able to analyze both text and numerical data. I would prefer the bot to use the NumPy library for this project. Skills and experience needed for this job: - Strong proficiency in Python programming - Experience with data analysis and manipulation - Familiarity with NumPy library - Knowledge of working with both text and numerical data
I am seeking a proficient python programmer skilled in the Adabo...The project revolves around a classification task, specifically working with numerical data for which the Adaboost algorithm will be leveraged. Key tasks and requirements for this project involve: - Development of an Adaboost classification model. - Ensuring proficiency in handling numerical data. - The use of NumPy for managing data and performing operations is a must. Proficiency in scikit-learn and pandas would be a bonus, but the primary library this project demands is NumPy. Successful execution will be measured by the accurate development of a classification task model using the Adaboost algorithm. Therefore, prior hands-on experience with this algorithm and excellent proficiency in Python will be h...
This project involves a comprehensive analysis and modelling of data using Python. The data, originating from an unknown distribution, has already been processed and is stored in various formats, including CSV and NumPy array files. Check the file "" for more details. Must be made using a Jupyter notebook.
I am in need of an experienced data scientist who can assist me with a classification task in Python. The project involves working with numerical data and achieving high accuracy (above 90%) in the classification task. Skills and Experience Required: - Strong expertise in data science and classification tasks - Proficiency in Python and its data science libraries (such as NumPy, Pandas, and Scikit-learn) - Experience with machine learning algorithms and their implementation in Python - Ability to analyze numerical data and apply appropriate classification techniques - Familiarity with various machine learning algorithms and their strengths and weaknesses - Excellent problem-solving skills and attention to detail If you are a skilled data scientist who can effectively analyze nume...
Experience in - Generative AI in Data Management, Processing, Visualization I am looking for...and ability to optimize AI algorithms for efficient data processing and visualization Ideal Skills and Experience: - Strong background in data management, including data cleaning, data integration, and data warehousing - Experience in building and deploying generative AI models using advanced AI techniques - Proficiency in Python programming language, with knowledge of relevant libraries such as NumPy, Pandas, and Scikit-learn - Familiarity with data visualization libraries like Matplotlib and Seaborn - Knowledge of machine learning algorithms and techniques for data processing and analysis If you have expertise in data management, advanced AI functionalities, and Python programming lan...
I have python code for Calculate Fibrinogen Value from APTT or PT Clot Curve using below libraries - matplotlib - scipy - numpy I need code review and suggestion, If you have already experience on above packages please ping me.
