Coco datasetemplois

Please read this file I sent - 1) It has TACO dataset link 2) The model should be trained in proper code and shouldn't be a single line. Proper training, based on YOLO algorithm. 3) Once model is trained, generate the result of model performance and visualise the result. 4) Write python script to take video as input and perform model on it and create webpage for it. Need it finished by April 10th.

...Engineering, Computer Science (or equivalent experience) At least 2 years of relevant experience as a data scientist 2+ years of data analysis experience and a desire to have a significant impact on the field of artificial intelligence 2+ years of experience working with Python programming Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings Excellent problem-solving and analytical skills Excellent communication abilities to work with stakeholders and researchers successfully Fluent in conversational and written English communication skills...

I am seeking a freelancer to collect data Specifically, I am in need of data related to age groups (in 5-year increments or less) pertaining to age retirement, withdrawal, and death from pension datasets. The data should be provided in raw form or as percentages, focusing solely on these three variables. The dataset must be cohesive and not sourced from disparate studies Please check file before post Requirements: Data on retirement, withdrawal, and death categorized by age groups. Data provided in raw form or as percentages. Limited exclusively to the requested variables. Additional Information: Desired format: Excel, CSV, or equivalent. Timeframe: 2 weeks Budget: 30 usd Previous experience or samples of similar work are preferred. Data must be sourced from credible and reputa...

As a conscientious institution, we're seeking a savvy data scientist with a strong background in Python to dive deep into our bank dataset. Specifically, we're interested in performing: • Customer Segmentation Analysis • Fraud Detection • Risk Assessment The data has already been thoroughly cleaned, so you can hit the ground running. You'd be an especially good fit for this project if you excel at harnessing Python for data analytics and have a keen eye for revealing important patterns and insights. Let's work together to enhance our understanding of our customers and improve their banking experience. We're eager to learn from your expertise!

...environment. The main goal of this project is to create an AI system capable of diagnosing retinoblastoma through eye images. Key tasks include: - Building an algorithm that accurately compares new eye images with a provided dataset of 50 normal eye images and 50 images of retinoblastoma. - Ensuring seamless functionality on the Google Colab compiler. - The project entails supervised machine learning, as the datasets are labelled correctly. - Confirming the AI's ability to effectively diagnose retinoblastoma based on its comparison of the uploaded image and the image dataset. The successful candidate will have strong skills in machine learning algorithms, specifically for medical diagnosis purposes, as well as proficiency in Python and Google Colab. Experience in ...

I'm seeking freelancers with skills in working with map data to highlight and tag features on roads, trails, and paths. These tags will then be used to train an AI model. There is hundreds of maps available to be tagged. Tasks Include: - Understanding and working with Geojson and Cadastre map data formats in QGIS - Highlig...Understanding and working with Geojson and Cadastre map data formats in QGIS - Highlighting and tagging appropriate features on the map Skills and Experience: - Knowledge of GIS and map data interpretation - Experience with QGIS - Experience with Geojson and Cadastre formats - Understanding of tagging for AI training data sets is not necessary but advantageous The end prospective is to create a dataset that will help to train an AI model for map featur...

...allocation: The system should have a feature where users can select and allocate the prize for the day. - Fraud detection and prevention: The system should be capable of detecting and preventing fraudulent activities among users. Fraud Detection Module: - The system must encompass a detection module for suspicious user activity. - The developer should be able to utilize a credit card fraud detection dataset to implement this feature. Skills Required: - Expertise in Python and Django - Understanding of user authentication methods - Proficiency in handling and analyzing big datasets - Previous experience in fraud detection is a must. The scale of the application will be towards up to 100 users so the application must be designed keeping the best practices to handle such user...

I have a dataset with time series data that contains missing values. I need an experienced data scientist or machine learning engineer to help me fill the missing values using machine learning techniques. Ideal skills and experience for this job include: - Proficiency in working with time series data - Strong understanding of machine learning algorithms and techniques - Experience with Python and relevant libraries such as pandas, scikit-learn, and numpy - Familiarity with handling and imputing missing values in datasets - Ability to work with 15-minute time intervals for data processing The successful candidate will be able to ensure that the filled values are accurate and representative of the original dataset to the best extent possible. The goal is to have a complete ...

...work on a project involving ticket verification using face recognition. This is a grad project. You need to train 2 different models. Two models should be trained and accuracies should be shown. Models will be trained to scan facial features and recognize the person from cosine or ecludian distance difference based on threshold value. Training dataset is CelebA dataset you can download from this link Test dataset will be provided by me. Whether the person recognizes the face that appears when the camera is turned on or not, and whether the person's name and ticket are available are displayed above the face on the screen to be printed. .The ideal candidate should possess: - Proficiency in Python. - Solid experience in working with face recognition technology

Step 2: Dashboard Exploration Analyze the selected dashboard thoroughly. Pay attention to the layout, design, choice of visualizations, and the story it tells. Identify the dataset(s) used in the dashboard and describe its source and purpose. Step 3: Critique and Analysis Write a critical analysis of the selected dashboard. Consider the following aspects: a. The effectiveness of visualizations in conveying insights. b. The dashboard's overall design and user-friendliness. c. Whether the dashboard effectively communicates a specific message or story. d. The choice of colors, fonts, and other design elements. e. Interactivity and user engagement. f. Any areas where improvements or enhancements could be made. Step 4: Presentation Prepare ...

...them into one master file, and tidying up excluded specifics. Here's how I envision the project to unfold: • Data Assessment: Identify and analyze each dataset and its variables. • Data Wrangling: Apply your SPSS skills to effectively integrate these sets into a single dataset, ensuring cleaner and precise data. • variable cleaning : will discuss which variables on chat Ideal Skills and Experience: • Proficiency in SPSS. • Strong understanding of data analysis, manipulation, and wrangling. • Exceptional attention to detail. • Prior experience with similar projects. Please note: The exact variables to be excluded from the final dataset will be discussed once the project commences. Your flexibility and adaptability to chang...

I'm seeking someone that can help on the coding phase of the project. We will be working with hierarchical forecasting for a retail company, using their dataset. All coding to be made in phyton, using pandas and other modules for machine learning. The deliverables should include not only the anotated code using a notebook, but also step by step explanations regarding the methods tested. Finally all should be documented. All to be ready to deploy on AWS, including detailed step by step explanation on how to do it. Furthermore, pipeline and deployment to be assured by the contractor on my own Aws account. Brief dfescription of the project: Project endeavors to use hierarchical forecasting methodologies in business by leveraging the capabilities of deep learning models. Aims to ...

...them into one master file, and tidying up excluded specifics. Here's how I envision the project to unfold: • Data Assessment: Identify and analyze each dataset and its variables. • Data Wrangling: Apply your SPSS skills to effectively integrate these sets into a single dataset, ensuring cleaner and precise data. • variable cleaning : will discuss which variables on chat Ideal Skills and Experience: • Proficiency in SPSS. • Strong understanding of data analysis, manipulation, and wrangling. • Exceptional attention to detail. • Prior experience with similar projects. Please note: The exact variables to be excluded from the final dataset will be discussed once the project commences. Your flexibility and adaptability to chang...

...about each accident when the user hovers over a data point. 2. Time Bar Chart: Visualize the frequency of accidents over time, allowing users to understand temporal patterns and trends. Implement zoom functionality to allow users to zoom into specific time intervals for more detailed analysis, such as a particular day, week, or month. Enhance realism by using actual time data from the accident dataset, ensuring that the time scale accurately represents the occurrence of accidents. 3. Circle Packing: Implement a hierarchical representation of accident data, where each node represents a geographical location (e.g., city, neighborhood) and is nested within larger regions (e.g., states, countries). Provide tooltips or pop-ups to display additional details about each node, such as t...

I require a coder skilled in Python for a numerical data formatting task. The main requirement is to develop a Python code able to modify the decimal delimiter in a dataset. The Specifics: - You will be working with numerical data. - The desired outcome is to change the decimal delimiter in the dataset. Presently, it appears as a comma, but needs to be a dot. Ideal Skills and Experience: - Proficiency in Python programming - Extensive experience with handling and formatting numerical data - Attention to detail to ensure accurate delimiter modification The ideal freelancer for this assignment will be able to deliver quality work within set timelines, ensuring the delivered code aligns with the outlined requirements. Coding accuracy, precision, and quick turnover times wil...

...master sales dashboard. - Analyzing product sales by category, and store sales from the EPOS data. - Identifying the sales trends per week/month/qtr - Focusing on the product sales data, specifically looking at the highest revenue-generating items. Ideal skills and experience for this job would include: - Proficiency in Excel and pivot tables, as the analysis will involve working with a large dataset. - Previous experience with EPOS data analysis would be highly beneficial. - Strong analytical skills and the ability to draw meaningful insights from data. - Attention to detail and the ability to accurately interpret and present data. If you feel you have the necessary skills and experience to take on this project, I'd love to hear from you. Please provide examples of your...

so solve the tsp problem using gnn and get the shortest path using the large dataset and the output should be shown as a figure like the nodes should be the cities and edges should be the distance between the cities and find shortest path from the start city to the last city and datasets be in number format like coordinates form. code this in python and on google collab only More details: What are the main objectives of your project? Optimizing travel routes What form of data input for the TSP will the solution be working with? Coordinate-based data How soon do you need your project completed? ASAP

I'm seeking an expert who can employ their knowledge of statistical analysis to uncover patterns and relationships in a given dataset. Expectations: - Proficiency in statistical analysis specifically Partial Least Square method is a must. - Experience with data cleaning to ensure accuracy and reliability of data is essential. - Despite Python not being a traditional method for statistical analysis, I require capabilities in Python for the execution of analysis. Ideal candidates will be able to identify and work with outliers and anomalies, with an ultimate goal of predicting and forecasting future data. Experience with identifying patterns and relationships in data is crucial to effectively carry out this project.

I am seeking a skilled freelancer to help me create a data collection tool for an intrusion detection system. This system's main purpose is to collect data for analysis, focusing on network traffic. Key tasks include: - Designing a new normal and attack dataset using Mininet WiFi - The focus is on detecting Denial of Service (DoS) and Man-in-the-Middle (MitM) attacks Ideal candidates should have experience: - Building intrusion detection systems - Working with Mininet WiFi - Handling network traffic data - Familiarity with DoS and MitM attacks This tool will greatly aid in identifying and preventing future network attacks by providing structured data for our analysis team.

I am seeking an experienced Python developer proficient in data structures and algorithms to work with me on a small-scale project. The requirement is to implement solutions for sorting and searching algorithms, tackle tree and graph-related problems, and solve dynamic programming ...programming problems. Key skills and experience: - Expertise in Python. - Strong knowledge of data structures and algorithms. - Experience in working with sorting and searching algorithms. - Proficiency in dealing with tree and graph-related problems. - Demonstrated experience in dynamic programming problems. The project involves working with a dataset of up to 1,000 elements. The successful freelancer will need to effectively understand and manage this dataset size to deliver the required alg...

...coding to assist me with a project related to future predictions. The specific details of the project involve: - Predicting future trends in the stock market, customer behavior, and weather patterns using AI/ML algorithms. - Developing an AI model that can predict bandwidth and fault issues in computer networks, with a focus on network fault detection. - Building this AI model using a synthesized dataset. Ideal candidates should have: - Proficiency in AI/ML algorithms and coding. - Experience in network fault detection and traffic analysis. - Strong understanding of stock market trends, customer behavior, and weather patterns. - Ability to work with synthesized datasets and develop predictive models. If you feel you have the right skills and experience for this project, I lo...

I am looking for a professional who can build a speech recognition system for me. I haven't collected a dataset yet, so I need you to take care of this for me. Ideal Skills and Experience: - Experience with building speech recognition systems - Strong understanding of Mel Frequency Cepstral Coefficients - Proficient in Convolutional Neural Networks - Ability to work under tight deadlines Please keep in mind my need for this project to be completed as soon as possible.

I am looking for a skilled professional in the fields of Natural Language Processing (NLP) and Image Recognition. The main objectives of this project are to: - Develop a sophisticated NLP model - Implement an advanced Image Recognition system The project involves working with a specific dataset that I have already organized and fully cleaned. The ideal candidate should be adept at handling large datasets and be well-versed in the latest machine learning and deep learning techniques. Skills and experience required: - Proven track record in NLP and Image Recognition - Expertise in working with large datasets - Proficiency in machine learning and deep learning techniques - Strong understanding of data preprocessing - Excellent communication and problem-solving abilities If you have ...

...a real-world dataset. Multiple visualizations are widely used for supporting real-world analytics in a variety of fields. For example, to comprehensively monitor the usage of a cloud application, a dashboard with several visualizations (e.g., a line chart, a map, a bar chart, a histogram, and a violin plot) are used. In this task, you will design, create, and evaluate multiple visualizations (at least three) for solving a real-world analytics problem. In this stage, you need to find a real-world dataset with a few analysis problems, perform some initial explorations of this dataset, and think about multiple visualizations that may help you solve these problems. Specifically, your proposal should include detailed discussions, regarding the following questions. 1)...

I'm in urgent need of a data analyst proficient in using R Studio for a data analysis and modeling assignment. This task involves creating algorithms using Linear Regression models. I already have my specific dataset for the project which is less than 10,000 records. Ideal Skills for the Job: Data Access and download the study dataset: This dataset is a survey of 2033 residents of Canada was conducted to determine the key factors associated with political engagement. A variety of variables were measured and recorded including some tests they were asked to complete. Below is the data dictionary for the data set. One group of respondents (“Treat”) were given additional education on political matters while the other (“Control”) were not. ...

As a busy professional, I'm on the lookout for an Excel pro who can assist in organizing my dataset of less than 1,000 rows. The data is moderately complex, with multiple columns of various types. The ideal freelancer will: - Have experience with Data Entry and Organization. This includes swiftly inputting data and structuring it for optimal accessibility and productivity. - Possess Data Analysis and Reporting Skills. I'm keen on meaningful insights from the data and require straightforward, compelling reports. - Excel proficiency is a must, with strong attention to detail, and ability to handle moderate complexity data. By bringing your advanced Excel management and analysis skills, you'll be delivering order to chaos, and helping drive more informed business decis...

I'm looking for a skilled Python developer who has experience with PyTorch to help me integrate my audio dataset into an USS system on Github repo "https://www.freelancer.com/post-project". Key Requirements: - Proficient in Python - Strong understanding of PyTorch - Prior experience working with ML - Capable of handling and working with audio datasets Your primary task will be to take my audio dataset and feed it into the provided USS repo, with the main goal of sound classification and seperation (the idee for USS = Universal Source Separation (USS) with Weakly labelled Data). The ideal candidate should be knowledgeable in the field of ML, particularly in sound-related applications. If you have the necessary skills and experience, and are interested in wo...

I require a detailed dataset for historical indian options contract for the past 5 years. Specifically, I need for all combinations of following of last 5 years: columns: time, open, high, low, close, volume, open interest (also possibly vwap, iv and pcr) instruments : midcpnifty, finnifty, banknifty, nifty, sensex, bankex option type : ce, pe expiries: weekly, monthly duration: full from start of contract date to last date granularity: minute level eg. Nifty 10th APR 22500 CE. I'm particularly interested in: - Detailed data at minute level - Gathering information for all weekly and monthly expiries. The format for delivering this data should be CSV files for each option contract's each day seperately segregated. For the data sources, I can find this data available ...

I am looking for a skilled freelancer to analyze the sentiments of the reviews given by the customers in the data and make some useful conclusions. Read ML PROJECT GUIDELINES pdf for full details. Two dataset excel files are given. Project should be done in Sample submission colab notebook. An example project is also given for reference. Complete full project as in the notebook and guidelines. Requirements: - Analyze and categorize sentiments - Visualize the results - Cluster Zomato restaurants into different segments. Ideal skills: - Strong experience in machine learning - Proficiency in data analysis and visualization - Knowledge of sentiment analysis techniques - Familiarity with clustering algorithms

The goal of the project is to create a highly intricate Convolutional Neural Network (CNN) model specifically tailored for Arabic sign language detection from video to text translation. We already have a video dataset available and the codes need to be presented in .ipynb files. Testing accuracy of over 90% is expected. Your task involves: - Enhancing an existing model to develop an advanced (10+ layers) CNN model, proficient in handling Arabic sign language detection. - Exploiting the Integrated Mediapipe framework for continuous, full sentence video processing. - Ensuring the system is able to transcribe videos into text efficiently and accurately. - Documenting all code clearly and thoroughly throughout the project. Ideal Skills and Experience: - In-depth knowledge and expe...

I have a medium-sized survey dataset that needs thorough analysis and interpretation. The data to be analyzed will help me gain insights, identify trends and correlations, which will ultimately support my decision-making process. Key Responsibilities: - Analyze survey data using SPSS - Perform Descriptive Analysis - Identify patterns and correlations Key Requirements: - Proven experience in data analysis - Proficiency in SPSS - Ability to interpret data and present findings effectively - Strong analytical and problem-solving skills - Attention to detail I am looking for a freelancer who has strong quantitative skills and experience in analyzing survey data, ideally with a background in market research or a related field. Proficiency in SPSS is a must. The ability to provide clea...

I need someone who can donaload following datasets, then join them into one and merge into one dataset in COCO format so that it works out of the box if I replace data in attached notebook. Here are the links https://archive.ics.uci.edu/dataset/241/one+hundred+plant+species+leaves+data+set I am interested only in the following plants: Phragmites australis Typha angustifolia Typha latifolia Acorus calamus Iris pseudacorus Schoenoplectus lacustris Nymphaea alba Nuphar lutea Potamogeton natans Hippuris

I am in search of a seasoned data analyst who will perform a comprehensive analysis on a large Excel dataset, with more than 10,000 rows. The range of tasks to be undertaken includes: - Data Cleaning: Ensuring the data quality, eliminating any errors or redundancies. - Data Visualization: Creating intuitive charts and graphs to illustrate the data trends and patterns. - Statistical Analysis: Implementing statistical methods like Regression Analysis, Time Series Analysis, and Hypothesis Testing to interpret the data and draw conclusions. This demands a great deal of experience in Excel, data cleaning, statistical analysis, as well as in working with large datasets. A solid understanding of regression analysis, time series analysis, and hypothesis testing is strongly required. An ...

I'm in search for a professional well-versed in Google Sheets, specifically with the capability to execute and manipulate custom complex functions. You will be dealing with a medium sized dataset of 100-1000 rows. Key tasks include: - Implementing advanced formulas and calculations to an existing google sheet - Analyzing and providing visual representation of data in real time The ideal candidate should be proficient in data analysis, has excellent skills working with sizable datasets, and is a master of working with custom functions within Google Sheets. Your ability to interpret data and present in a user-friendly format will be essential.

I'm seeking a deep learning specialist to execute an assignment focused on using a Generative Adversarial Network (GAN)...need to report Frechet Inception Distance (FID) and Inception Score (IS). Experiments to perform: 1. Train cGAN and generate images according to the class labels. 2. Evaluate the generated images (at least 10 for each class) by considering them as test images and report the accuracy. Compare the accuracy with original test set images of the dataset. For this, you can train any classifier of your choice with the training data available to you. The dataset includes: • train data: training images. • train labels: training labels. • train sketch: unpaired training sketches. • test data: test images. • test labels: test labels. &bu...

Project Overview: I am looking for a data analyst with deep expertise in R programming to undertake a comprehensive project on environmental data. This project not only requires extracting, processing, and analyzing a large dataset but also compiling a detailed report on the methodology, findings, and insights gained from the analysis. The project involves working with environmental variables from multiple text files and integrating elevation data to create a unified dataset for analysis and visualization. Key Tasks: Extract data from 504 structured text files each representing different environmental measurements, and one .dat file for elevation data. Combine these datasets into a single, clean data frame ensuring consistency in date, location, and measurement variables. Co...

...scrape data of race participants, dates, class etc from a 3 different websites. Here's what I require: • Our collaboration will involve mining data from a website, specifically focusing on race participants' details. • As for your skills, proficiency in Python for this task is essential, as you'll be using it for the web scraping process. • In terms of the output, I expect a well-structured dataset containing the information readily available. Ideal Experience and Skills: • Proven experience in Python-based web scraping tasks. • A keen eye for detail to ensure accuracy and completeness of the scraped data. • Excellent organization abilities to present the data in a clear, concise, and usable format. I'm looking forwa...

I need an experienced freelancer ...handling and basic statistical analysis. The key tasks will include: - Data analysis: Using R to perform detailed, but basic statistical analysis on the data. This refers to simple predictive statistics, insights generation, etc. - Data Visualization: Clearly visualizing analysis results using appropriate chart types, plots, and other infographics. - MongoDB expertise: You will be dealing with a dataset of less than 1GB from MongoDB, so preparedness to work in this environment is important. The ideal candidate should have demonstrable experience in data analysis using R, data visualization and creating manageable databases on MongoDB platforms. Having a thorough attention to detail would be key to achieving the level of accuracy required in thi...

I would like a script that will analyse the dataset and return  Open_range, Long_trade and Sell_trade profit to an Excel file. First, you need to define variables: Start_time = 17:05 End_time = 18:00 Open_range_high = High (at Start_time)  Open_range_low = Low (at Start_time) Long_trade_stop_loss = Open_range_high Sell_trade_stop_loss = Open_range_low Stop_loss_to_be= Open_range_high or Open_range_low + Open_range Time range: 17:05–18:00 for every day To calculate open_range, use high and low (at 17:05) and return the difference in points. Time High Low Open_range 31/05/2023 17:05 1833 1831.5 Start_time 1.5 The CSV file contains price series at a 5-minute interval. Time-High-Low  Time High Low 31/05/2023 17:05 1833 1831.5 Start_time 31/05/2023 ...

As part of my project, I'm dealing with a large set of data (more than 10,000 rows) in Excel, for which I require professional assistance. Key Tasks: - Apply specific Excel formulas to perform financial calculations, including NPV, IRR, and ROI. - Utilize logical and text functions such as IF, CONCATENATE, and VLOOKUP for data manage...such as IF, CONCATENATE, and VLOOKUP for data management and analysis. Ideal Candidate: - Proficient in Excel functions and formula calculations - Experienced in handling large datasets - Strong financial analysis background The right freelancer will help me analyze this data successfully and draw meaningful conclusions. This project requires detailed and careful work due to the extensive dataset. I appreciate your time and consideration o...

I need someone to train the LipNet model from GitHub using the LipNet dataset, ensuring it achieves an accuracy of over 85%. Additionally, I require integration of the trained model into my Flutter and Dart project using Firestore. Here's the model repository:(). This job requires: - Detailed working knowledge of deep learning models, particularly with the LipNet model - Experience in training machine learning models for high accuracy tasks - Ability to maximize the potential of limited data, as I have only one video to start with - The initiative to find or create additional training data if necessary -integration of the trained model into my Flutter and Dart project using Firestore. Your main responsibility will be to finetune the LipNet model to ensure

I require an expert who can handle a multifaceted data analysis task. This project (Excel dataset) revolves around a questionnaire survey I've conducted for research purposes. Key Tasks: - Carry out descriptive statistics - Conduct correlation analysis - Perform validity and reliability tests Specifically, I need the following tests to be utilized: - Chi-Square test - Cronbach’s statistic - Item-total correlation - Discriminant & Construct validity The ideal candidate should have solid experience in statistical analysis (no preferred Software), a strong understanding of the mentioned statistical tools, and an academic or marketing background to comprehend the intricacies of my research. Familiarity with surveys and questionnaire analysis will be a significant adva...

...for this research paper. You should have identified and access to the dataset you plan on using (if any) for your research paper. You should have the introduction, literature review completed. You should have research questions, motivation and/or hypothesis and methodology identified/completed. You should have your exploratory data analytics completed You should have your implementation/results completed You should have your conclusions and future research directions completed You should have your abstract, keywords, any additional sections completed You should provide sample dataset in your appendix along with any additional appendix items You should have a Reference section with appropriate citations. The dataset link is found here :

I require the development of an API server, preferably in Python. This server will ...inputs specifically from order forms and price calculation forms - Perform specified calculations on collected data including sum of prices, discount calculations, tax calculations, and insurance premium calculations. - Return calculated output to webforms in the JSON format. Ideal Skills and Experience: - Proficiency in Python and REST APIs - Experience in performing complex calculations on dataset - Familiarity with JSON data format - Background in finance or insurance would be a definite plus. The task includes the creation of an admin panel for user/key/endpoints creation and validation. The task includes all tracking to capture details of all incoming calls and output with timestamps and IP...

I need a f...analytics especially within football. * Ability to analyze and interpret structured/tabular data (CSV, Excel, etc) * Strong understanding of player analysis and team tactics within football. * Excellent research writing and academic publishing skills. * I already possess data for this research. Knowledge in handling dataset is a must. Your main responsibility will be to handle all aspects of the research paper from drafting to publishing. You're expected to leverage the dataset I have to generate meaningful insights and conclusions. The end goal is to successfully publish the paper in a reputable platform or journal. Your input on the best place to showcase this work is also welcome. attached below is the project synopsis and one of the main reference p...

...for me) Dataset: Split your dataset into training, testing, and validation sets with ratios of 0.6, 0.2, and 0.2 respectively. You can use libraries like scikit-learn to achieve this. Augmentation: Apply various augmentation techniques to create separate augmented datasets. These techniques include: Rotation Contrast adjustment Resizing Inverse resizing Zooming in MFSNet Model: Utilize the provided code for the MFSNet model. Ensure that the model is properly configured and ready for training. Model: Train the MFSNet model using the original training dataset and evaluate its performance on the original testing dataset. Calculate accuracy metrics such as Dice coefficient and mIoU. Dataset Training: For each augmented dataset, train the...

I am looking for skilled Data looker studio data analyst that can make me some dashboards on my Gmail account about existing dataset. its not so complex, and I don`t need many dashboards.

I'm looking for someone to write a script that will return data to an Excel file. I will provide a CSV file. I would like to return the highest value for the specified time frame for the whole dataset, according to the criteria. Criteria: Time_frame: 17:05 to 18:00  Open_range: 17:05 to 17:05 Open_range_high = highest value in "High" Open_range_low = lowest value in "Low" Long_entry = High > Open_range_high  Stop_loss_long = Open_range_low Stop_loss_be_long = Open_range_high Short_entry = Low < Open_range_low Stop_loss_short = Open_range_high Stop_loss_be_short = Open_range_low Long entry logic - return highest value for Time_frame for each day if at 17:15 High > Open_range_high  = Long_entry  (but low nee...

The model has been developed and the dataset is ready. You only need your help to complete the training of the model. There are 6 datasets, and the $100 deposit is only needed. You only need to complete the training of one dataset to achieve the required inference accuracy, which has been tested and verified. We can officially accept this project and then discuss the prices for all the projects.

I have a dataset and I am developing next location based recommendations and I want to adjust codes as per my new dataset .