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    I'm needing astute assistance with both score and loading plot analysis, integral parts of my PCA (Principle Component Analysis). I'm currently undertaking my Master's thesis and I'm lacking the conclusive interpretations of my findings. While I haven't narrowed it down to a singular research question, understanding the key influencers within my dataset and discerning the groupings and outliers within the data is central to my study. Your experience in these areas will be especially beneficial. To ascertain if you're the right person for this project, kindly detail in your proposal how you plan to approach these issues and the techniques you'll be leveraging for analysis. With your assistance, my research could gain the depth and precision it req...

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    Dataset should be unique(you should find by your self), the field of dataset is ELECTRICAL, CONTROL PANEL, GENERATOR. Using the dataset, Thesis should be in 55 pages, one report and one presentation. plagiarism checker will be done.

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    This project seeks an expert in AI and Battery Management Systems (BMS) to create comprehensive documentation. The main aims are: - Detecting sudden acceleration, specifically rapid increases in speed - Implementing a battery optimization function. The ideal BMS will balance energy consumption across all vehicle systems to ensure optimum performance and efficiency. App...act decision maker in real-time from mapping the decision from state to action. Create the state and action space, state transition and rewards to achieve the training goal. Deliverables; Documentation including backgrounds, tech trees, methods for data collection/feature extraction/detection model/threashold definition/RT monitoring/integration of BMS. Illustrations, block diagrams, sample dataset, tables an...

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    I'm seeking an intermediate level Research Assistant, highly proficient in Python to assist me develop ML+DL algorithms for a specific project. Key Responsibilities: * Step 1: Regenerating Exact same graphs shown in PDF using same dataset * Step 2: Apply other various ML + DL algorithms for future prediction and Obtain better results in term of accuracy, precision, F1-score, RMSE, ME, MAE, RMSE, MAPE etc then already applied models * Step 3: Documentation of the work, along with a discussion to validate the model's usage ,compare with step 1 results and justify it as a Scientific research. Ideal Skills & Experience: * Proficient in Python programming language * Prior experience in Machine Learning and Deep Learning algorithms * Anyone with Past Experience as a r...

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    I need an experienced Pine script coder for developing my EMA (Exponential M...I've detailed. - Ensuring the script can backtest trading data effectively. - Coding the script to generate trade signals. Furthermore, I want this script to automatically initiate and execute trades Synchronized with my broker account. This calls for a high-level experience in TradingView API and order management system. Additionally, this project requires backtesting the strategy on a mixed dataset of both specific historical and most recent market data for determining the effectiveness of the automated trading strategy. Proven expertise in backtesting trading strategies will be a significant advantage. Experience with Pine Script Coding, Backtesting, and TradingView API is highly significant fo...

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    ...your argument. You can find the two papers in the attachment. Development & Analysis: Given the car dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset. 3. You should answer the following questions, in addition to submitting your...

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    I require a data expert to migrate a medium sized dataset (100MB-1GB) from MS Excel to a MySQL database. Additionally, the database requires optimization to improve query performance and enhance data retrieval speed, improving overall efficiency and usability. Upon completion of the migration and optimization, the development of a desktop application is also required. This application is to assist with data browsing, editing, and filtering in a user-friendly manner. Ideal candidates should have: - Proven experience in migrating data between different platforms - Extensive knowledge of MySQL optimization techniques - Proficient in developing desktop applications with data browsing, editing, and filtering functionalities - Good understanding of data architecture and management - De...

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    I'm in need of an experienced Python developer to build an ultra-fast Convolutional Neural Network (CNN) model for a tabular dataset. The primary purpose of this model will be classification for a big dataset( 500MB) The output of the classification will be in 3 stages classification : - binary - 8 classes - 48 classes Key deliverables: - A highly efficient and fast CNN model - Clear documentation of the code and steps involved in the development process. - The dataset classification needs alot of balancing Preferred Experience and Skills: - Strong expertise in Python programming - Proven experience in CNN model development for data classification - Familiarity with Keras, TensorFlow, or PyTorch is a plus, although it's not mandatory since I haven&#...

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    ...objective is to analyze how the radiative cooling performance of our paints is influenced by these regional and seasonal variations. Project Objectives: 1. Water Vapor Data Extraction: Utilize satellite data, particularly from Landsat, and tools like Google Earth Engine to extract region-wise humidity and water vapor data, focusing on different seasons. The objective is to compile an extensive dataset for analysis. 2. ATW Variation Analysis: Utilize the extracted humidity and water vapor data to plot the variations in the Atmospheric Transparency Window (ATW) across different regions in India. Understand how ATW fluctuates based on water vapor content and its implications on radiative cooling performance. 3. Atmospheric Transmittance Data: Utilize MODTRAN or similar tools to ...

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    ...Description: We're looking for a highly skilled data scraping expert to help us gather detailed information about classic cars from a prominent online marketplace. This project requires adeptness in handling dynamic content and extracting comprehensive details from listings. Objective: Our goal is to collect an exhaustive dataset on classic cars, including make, model, year, price, historical background, seller details, and any additional information available in the listings. This dataset will be pivotal for market analysis and internal assessment. Key Project Deliverables: Data Collection: Methodically extract comprehensive information about classic cars from designated sections of an online marketplace. Data Structuring: Efficiently organize the amassed data into...

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    ...and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset sample data Model MPG Cylinders Displacement Horsepower Weight Acceleration Year Origin chevrolet chevelle malibu 18 8 307 130 3504 12 70 US buick skylark 320 15 8 350 165 3693 11.5 70 US plymouth satellite 18 8 318 150 3436 11 70 US amc rebel sst 16 8 304 150 3433 12 70 US ford torino 17 8 302 140 3449 10.5 70 US Ideal skills for this job include a proven grounding in web dev...

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    My project focuses on refining the existing model used for oil flow forecasting in pipelines. While the current model employs a weighted average technique, there's a need to reduce the forecasting error. Therefore, I'm looking for someone with: - In-depth knowledge and experience with forecasting models such as ARIMA, SARIMA, Prophet, and LSTM. - Track ...baseline model. - Identify shortcomings and avenues for improvement. - Develop and implement solutions aimed at specific goal of reducing the forecasting error. Ample experience and a strong understanding of forecasting models are essential, as the project calls for the ability to critically evaluate and refine existing structures. Note: this is a simple forecasting model with relatively simple dataset. So I am looking...

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    I'm in need of an adept statistician who can use SPSS to analyze my collected numeric continuous data. My aim is to conduct a correlational analysis for the fourth chapter of my dissertation. Key Tasks Involved: - Operate SPSS to extract meaningful insights from the data - Perform correlational analysis of the dataset - Compose a detailed report of the findings Preferable Skills and Experience: - Proficiency in SPSS - Strong knowledge base in statistic analysis - Experience with numeric continuous data - Previous work on dissertations or scholarly research is a plus - Ability to meet deadlines and work with academic standards.

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    Given the car dataset in the attachment, you need to do a visual analysis of clustering these cars. 1. You should pick at least four columns for clustering the cars. You are free to decide which columns to use and determine your rules for performing the clustering. 2. Using web-based techniques (e.g., D3.js) to visualize your clustering results. a. Use a circle to represent each car. b. Cars in the same cluster should be spatially placed near each other. c. Use different colors for different clusters. d. When mouse-hovering or selecting a car, you should show its detailed information from the given dataset. 3. You should answer the following questions, in addition to submitting your code. a. Which columns do you choose to perform the clustering? b. What is your rule for decid...

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    I have a small dataset (less than 1,000 records) that needs analyzing with specific focus on data visualization and statistical analysis. Key Tasks: - Data Visualization: Generating insightful charts and graphs to interpret data. - Statistical Analysis: Apply mathematical computations to deduce meaningful trends and patterns. Required Expertise: - Proficiency in Python-based data analytics is essential. - Familiarity with the Pandas library for data manipulation is compulsory. - Experience in handling small datasets is preferred. - The ability to articulate the findings in a clear and concise fashion is vital. Please note, while not mandatory, having knowledge of other Python libraries may also be beneficial. Only apply if you meet this criteria.

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    I have already preprocessed and trained several ML models using Python. Now, I am seeking an ML expert to assist me with the following tasks: 1.) Modify the training dataset to a single, larger dataset (data will be provided by me). 2.) Develop a function to predict outcomes for new or unseen data (specifically upcoming football matches). In summary: 1.) Update the dataset to only 2.) Pick the best model (not over fitting) 3.) create a function to predict new unseen data (after preprocessing) Looking forward to collaborating with you! TImeline: 3 hrs

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    Project Description: We are seeking an experienced and highly skilled machine learning engineer or data scientist to develop a transformer-based model for the classification of audio d...compatibility with the transformer model. This includes data cleaning, feature extraction, normalization, and any other necessary preprocessing steps. 3) Wav2Vec Transformer Model Integration: Utilize the Wav2Vec model from Hugging Face as the basis for the transformer architecture. Integrate this model into the classification pipeline and adapt it to suit the requirements of the DCASE-2023 audio dataset. Budget: Negotiable, based on experience and proposed approach. Interested candidates with a proven track record in machine learning and a passion for tackling challenging problems are encouraged...

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    I am on the lookout for a talented develope...com/collectible/52-fire-nation-aang-nft-le-999/#price-development Data to include in the chart has not been specified, leaving room for suggestions. Further, while I have not particularly specified a deadline for completion, the project delivery time can be negotiated. Skills/Experience Ideal for this Project: - Experience with eBay's API - Experience developing software applications - Knowledge of dataset organization and visualization, possibly including charts and diagrams - Knowledge of eBay's market trends could be a plus - Strong communication to understand and implement unmentioned but potentially useful data points in the chart. Bidders, please include past similar projects and proofs of relevant experience in y...

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    I have already preprocessed and trained several ML models using Python. Now, I am seeking an ML expert to assist me with the following tasks: 1.) Modify the training dataset to a single, larger dataset (data will be provided by me). 2.) Develop a function to predict outcomes for new or unseen data (specifically upcoming football matches). In summary: 1.) Update the dataset to only 2.) Pick the best model (not over fitting) 3.) create a function to predict new unseen data (after preprocessing) Looking forward to collaborating with you! Budget 20$ TImeline: 3 hrs

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    ...system. As one of the world’s biggest manufacturers of premium cars, safety and efficiency are paramount on Mercedes-Benz’s production lines. However, optimizing the speed of their testing system for many possible feature combinations is complex and time-consuming without a powerful algorithmic approach. You are required to reduce the time that cars spend on the test bench. Others will work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards. Following actions should be performed: If for any column(s), the variance is equal to zero, then you ...

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    I am looking for an experienced data analyst who is well-versed in PySpark to clean up a medium-sized dataset in a CSV file format. The file contains between 10k-100k rows, and your primary role will be to: - Remove duplicate data entries - Deduplicate the dataset - Handle missing values - Aggregate the resultant data Your proficiency in using PySpark to automate these processes efficiently will be critical to the success of this project. Therefore, prior experience in handling and cleaning similar large datasets would be beneficial. Please note, this project requires precision, meticulousness, and a good understanding of data aggregation principles.

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    ...objective of this project is to develop a fault detection system capable of determining whether a fault has occurred in a transmission line. The first dataset will be utilized for fault detection purposes, providing input to the machine learning model to determine the presence or absence of a fault. Additionally, the project entails fault classification using the second dataset. Various types of faults, including line-to-ground, line-line-ground, line-line, and line-line-line-ground etc, will be classified using the Simulink model. The freelancer will need to implement algorithms capable of accurately classifying these faults based on the provided dataset. The freelancer should possess expertise in MATLAB, Simulink, and machine learning algorithms, particularly Su...

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    ...develop a fault detection system (code and Simulink model)capable of determining whether a fault has occurred in a transmission line. The first dataset will be utilized for fault detection purposes, providing input to the machine learning model to determine the presence or absence of a fault. Additionally, the project entails fault classification using the second dataset. Various types of faults, including line-to-ground, line-line-ground, line-line, and line-line-line-ground etc, will be classified using the Simulink model. The freelancer will need to implement algorithms capable of accurately classifying these faults based on the provided dataset. The freelancer should possess expertise in MATLAB, Simulink, and machine learning algorithms, particularly Support V...

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    Need an expert to clean up my textual data currently stored in an excel spreadsheet. This includes: - Fixing the formatting issues present in the dataset - Removing any blank cells to create a more organized and streamlined data view Please note that while the project does not require any specific end format for the text data, I'm looking for someone with a keen eye for detail who can make suggestions to improve the data readability and utility. Success in this project would involve achieving a tighter, cleaner dataset, hence your experience and familiarity with Excel and data cleaning techniques will be crucial.

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    I am seeking an experienced developer to create deep...seeking an experienced developer to create deep learning image inpainting solution using Generative adversarial Network (GANs). The input is an existing small sample of noisy and respective clean images. The desired output should be a restored image with missing parts filled and graph of losses. The output of yolo model should be object detection performed by the GAN model automatically. Custom dataset has to be used. The completed solution should be robust, well-documented and include all necessary components to create a successful model. The developer should be able to work independently, resolve all technical difficulties and present a detailed plan of action prior to coding. We are looking for innovative and technical strong...

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    I'm in need of an experienced data scraper to collate the Creator/Brand names, Contact information, Social media handles, LinkedIn Contact, Product images/pricing, and details fro...handles, LinkedIn Contact, Product images/pricing, and details from several websites. I don't have specific websites in mind, so I'm open to suggestions on the best sources that could provide the relevant data. The resulting data must be thoroughly cleansed. It requires the following: - Removal of duplicates - Standardizing formats across data fields - Error correction to present a consistent dataset Proficiency in web scraping techniques and previous experience handling similar projects are beneficial for this job. A keen eye for details and a thorough approach to cleaning data are vi...

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    I'm in need of a proficient AI and machine learning developer with a strong background in Python and federated learning. The objective is to write code ,train and test a dataset for the detection of plant diseases including fungal, bacterial and viral infections, utilizing Dynamic-Fusion-Based Federated Learning. Key responsibilities will include: - Developing an algorithm for classifying plant diseases through dynamic fusion-based federated learning. - Prioritizing the classification of fungal, bacterial, and viral diseases. - Ensuring accurate disease detection through advanced machine learning strategies. The timeline for this project is within a week, so I need someone who can dedicate a good amount of time to this project in the immediate future. Essential skills and e...

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    Seeking an experienced data scientist to assist in optimizing my synthetic data generator, specifically by dividing larger datasets into s...generator, specifically by dividing larger datasets into smaller subsets. Expectations are as follows: - Integrate the capability of dividing data into subsets: you will need to specify both the number and size of these subsets. - Implement parallel processing using multi-threading to process these subsets concurrently. - Store the resulting data in a pandas dataframe for further analysis. The dataset involved is rather extensive, containing around 1M records, hence efficiency and good understanding of high-volume data processing is key. Skills in working with Genrocket, Python, Pandas, and multi-threading are highly desirable for success in ...

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    I'm in need of a professional that could give us an introduction to using Knowage for creating Dashboard and Cockpit. We have created and installation on prem...Knowage 8 on Ubuntu 20. But something in the setup maybe is not correct: when click on "add cockpit" nothing appends. So we need help to check the installation procedure, or meybe reinstall from scratch. After the installation we need and introduction to create the first dashboard. The database used for data is Postgres, already installed Postgres v16 with two table of example to use as first dataset where create some work or example. Search for professional with expertise in Knowage that could help in first setup and give us the information (via course or example). In English or Italian language. Thinking in...

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    ...Learning Engineer. The main objective of this project is to build, test, and implement a machine learning model that works effectively with multiple languages, interpreting user-uploaded audio files. Work to carry out: Make a unsupervised model of SER- Speech Emotion Recognition for 4 emotion i.e sad, happy,anger and fear. - Dataset already created of 150 sample in .wav files at 16khz, 16bit mono audio with emotion annotated of file name 4th letter. (Cannot share Dataset, as it is under process for research paper) - Feature extraction: (make sperate folder after feature extracted) 1. Time-domain features - *short-term energy of signal, zero crossing rate, maximum amplitude, minimum energy, entropy of energy* 2. Frequency-domain features- * MFCC - [12 (form 26 mel ...

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    ...with robust standard errors using the dataset attached. Then, you give me a generally statistically acceptable output. I have already run a primary logistic regression with robust standard errors. The primary model, in all respects, looks okay, but its specificity is 0.000. Have a look at the primary logistic regression output attached and improve the specificity (from 0.000) by adjusting the threshold (from 0.5) in your logistic regression with robust standard errors using the dataset attached. The dependent variable is ELECTIONSTATUS. My target independent variables are ELECTORAL_GOVT and EDM, both of which are categorical variables. I need the effect of all the categories on the dependent variable. You can use other variables in the model from the dataset attach...

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    For ...to the end of the same file). The program should: 1) Use pyperclip to 2) search the data file for the value in the clipboard. 3) If that clipboard value is: a) found - copy the entire line from the data file to the clipboard b) not found - save the string "None" to the clipboard. 4) This should operate quickly and not open a console to the desktop when used. This program should operate with a dataset of up to 20,000 rows. So I can avoid the bot bids, please mention the word "Acer" when bidding. Any bids from Russia will be eliminated. English language, prior experience, reasonable price and completion in such projects will be considered as an added advantage. Your winning bid and satisfactory outcome can also qualify you for future projects. Thanks f...

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    I have already preprocessed and trained several ML models using Python. Now, I am seeking an ML expert to assist me with the following tasks: 1.) Modify the training dataset to a single, larger dataset (data will be provided by me). 2.) Develop a function to predict outcomes for new or unseen data (specifically upcoming football matches). If you have experience in machine learning and are interested in taking on this project, please reach out to me with your relevant expertise and a brief overview of your approach to tackling these tasks. Looking forward to collaborating with you!

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    it should be a Machine learning model with tensorflow or yolo as your wish it should have compulsor features i.e. Helmet Detection Traffiic Light Violation by vehicle Wrong lane Vehicle detection Overspeeding Detecti...by vehicle and it also include a basic UI for a admin dashboard in which user can can see videos on which model is working and their adjacent live detections . and when models detects any violation it should capture a image of vehicle and then extract and clean the number plate of that vehicle and store to a database with correspond to all details For Dataset Part I am not going to use this model in production level so you can extract any dataset related to problem from github or Kagle and also i want code and documentation of this project in working state hav...

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    Scope: The project entails processing a dataset comprising 1850 rows, with each row containing 3 cells of data. Additionally, 634 folders are to be meticulously prepared as part of the project requirements. Estimated Delivery Period: I anticipate completing the project within a timeframe of 3-5 days, ensuring timely submission of deliverables to meet your expectations and project deadlines.

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    I am looking for a Python developer with experience in machine learning to help me with my adbench tool project. I require someone who can work with me on exploring supervised learning models using the dataset I will provide. The end goal of this project is to achieve both predictive analytics and pattern discovery through the machine learning experiments. I need these done before 11th of this month. Skills and experience required for this project include: - Proficiency in Python and machine learning libraries - Experience with supervised learning models - Familiarity with predictive analytics and pattern discovery techniques If you are interested in this project, please provide examples of your previous work in machine learning.

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    Trophy icon Power BI Numeric Data Match Report 2 days left

    I require a Power BI expert to work on numeric data within two columns in my dataset. Tasks: - The task requires comparing both columns to find numeric matches. - Upon finding a match, a report needs to be generated. The ideal candidate should: - Have experience working with Power BI and numeric data. - Understand complex data comparison. - Have expertise in report generation based on data matches. This project requires accuracy and strong analytical skills in data interpretation and manipulation. I have 5 columns, vendor name, product, from qty, To Qty, unit price. The vendor is giving a price for quantities between the from and To Qty. Example of data table: acme vendor, widget, 1, 25, $10.00 So the price for any quantity between 1 and 25 will cost $10.00 Ace vendor, widg...

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    More details: Do you have a specific dataset that needs to be used for the report automation? Yes What kind of data does your dataset mainly comprise of? Operational data What kind of insights are you hoping to get from the automated report? Performance metrics

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    ...trains using roboflow. The purpose of this task is to create a comprehensive dataset for later analysis. The objects we need to label and identify are primarily located within trains. We are paying particular attention to their shapes and sizes, thus such attributes need to captured proficiently in the labelling process. Ideal Skills: - Experience in roboflow for image labeling - Knowledge in machine learning and data analysis - Strong understanding in identifying shapes and sizes in images - Background in transportation or related fields would be a plus, but not necessary. The goal of this project is to create an extensive dataset that helps us analyse and better understand components within trains. This dataset will ultimately improve our design and utility ...

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    I'm seeking an intermediate level Research Assistant, highly proficient in Python to assist me develop ML+DL algorithms for a specific project. Key Responsibilities: * Step 1: Regenerating Exact same graphs shown in PDF using same dataset * Step 2: Apply other various ML + DL algorithms for future prediction and Obtain better results in term of accuracy, precision, F1-score, RMSE, ME, MAE, RMSE, MAPE etc then already applied models * Step 3: Documentation of the work, along with a discussion to validate the model's usage and justify it as a Scientific research. Ideal Skills & Experience: * Proficient in Python programming language * Prior experience in Machine Learning and Deep Learning algorithms * Anyone with Past Experience as a research assistant will be hig...

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    Analyze the dataset in respect to the provided research aims

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    I'm in need of a professional who can assist with regression analysis on a survey data. Specifically, the job involves analysing a dataset with more than two variables. Key responsibilities and tasks involved: - Conducting a multivariate regression analysis on the provided survey data. - Interpreting the results and creating an easy-to-understand report. Ideal Skills: - Strong proficiency in statistics and experienc in regression analysis. - Deep knowledge of statistical software such as R, SPSS or similar. - Prior experience with survey data analysis. - Excellent report writing skills, with the ability to simplify complex data. - Accuracy and attention to detail. Candidates who can provide sample projects or case studies of similar work performed will be given priority. ...

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    ...Data format: Ensure the data is structured and organized for analysis. - Timeframe: Collect data spanning several months or years to capture seasonal variations and long-term trends. **3. Data Preprocessing** - Data cleaning: Remove duplicates, handle missing values, and correct any errors in the data. - Data integration: Merge datasets from different sources to create a comprehensive dataset for analysis. - Feature engineering: Create new variables or transform existing ones to extract meaningful insights (e.g., day of the week, time of booking, distance traveled). **4. Exploratory Data Analysis (EDA)** - Descriptive statistics: Analyze summary statistics of ticket prices, flight frequencies, and other variables. - Visualization: Create visualizations such as...

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    I have a Python code with the end goal of producing a 3D reconstruction. Currently, it's not delivering expected results and requires a thorough inspection and correction. Specifically, issues reside in areas related to the camera pose, time, and data splitting logic. This code requires inputs including: - Camera pose (encompasses both position and orientation) - Time information - Dataset splitting, based on unique non-standard criteria I'm looking for Python experts, ideally with experience in 3D reconstruction, to find and correct the errors within the logic of my code. Your ability to decode existing Python script, figure out errors and offer logical corrections/improvements will be key. Understanding and having experience with camera positioning and time-based data...

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    As someone experienced in data analysis, particularly in Tableau, my requirement is for a methodical and comprehensive exploration of my Excel-based dataset, which is less than 1GB in size. This exploratory analysis should illuminate patterns, anomalies, and structures within the data that offer valuable insights and direction for further analysis tasks. Skills and Experience Needed: - Proficient in Tableau and Excel - Experience in conducting exploratory data analysis - Keen attention to detail - Ability to analyze data patterns and trends effectively - Understanding of data cleaning principles, if necessary - Proven ability to convert analysis insights into tangible business strategies or recommendations. Please, when bidding, provide examples of similar analyses you have p...

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    I'm seeking a proficient Excel expert capable of creating an efficient lookup file for me. The premise is to compare product names and SKU numbers across a medium-sized dataset, ranging from 101 to 1000 rows. Time efficiency is paramount, as the project needs to be completed ASAP. Ideal bidders will have: - Outstanding proficiency in Excel, particularly in creating and managing lookup files. - Exceptional attention to detail to ensure accuracy in comparing product names and SKU numbers. - Ability to deliver a fast turnaround time as this project needs immediate attention. Thank you in advance for your time and bid.

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    I'm seeking an intermediate level Research Assistant, highly proficient in Python to assist me develop ML+DL algorithms for a specific project. Key Responsibilities: * Step 1: Regenerating Exact same graphs shown in PDF using same dataset * Step 2: Apply other various ML + DL algorithms for future prediction and Obtain better results in term of accuracy, precision, F1-score, RMSE, ME, MAE, RMSE, MAPE etc then already applied models * Step 3: Documentation of the work, along with a discussion to validate the model's usage and justify it as a Scientific research. Ideal Skills & Experience: * Proficient in Python programming language * Prior experience in Machine Learning and Deep Learning algorithms * Anyone with Past Experience as a research assistant will be hig...

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    ...and ESN for classifying satellite images. Key Project Requirements: - Develop an innovative hybrid image classification model using CNN and ESN. - The model will classify satellite images to identify different types of terrain. - Additionally, the model should create a customized library that can store the weight adjustments and biases for later implementation. - Resourcefulness in gathering a dataset of labeled satellite images for training the model is expected, as currently, a prepared set does not exist. Ideal Freelancer: - Proficient in Python and deep learning libraries - Hands-on experience with Convolutional Neural Networks and Echo State Networks - Knowledge of image processing and classification - Familiar with satellite images and capable of obtaining relevant datas...

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    I'm searching for an intermediate level data scientist who can use Python effectively within the Google Colab environment. The primary responsibilities for this project are: - Fix error in .json dataset to use in Google Colab (currently showing invalid json) - Implement basic ML/DL Models - Data Analysis: This will require proficiency in Python and a good grasp of statistical analysis. - Data Visualization: Skills in data visualization will be essential to represent results clearly. Please only apply if you hold proficiency in Python programming and have intermediate experience in Google Colab. Familiarity with machine learning techniques and an ability to effectively visualize data is also desirable.

    $27 (Avg Bid)
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