Data preprocessing trabalhos

I'm seeking a skilled academic writer with a deep understanding of EEG data, Autism, and Deep Learning. Key Project Details: - Word Count: 7000-10000 words - Objective: To write an academic paper based on our proposed method and offered results Your main responsibilities for this project will include: - Crafting a comprehensive academic paper on the relationship between EEG data, Autism, and Deep Learning. - Writing a literature review that underpins our proposed method and results. - Ensuring the paper adheres to academic standards, including proper citation and referencing. Ideal Skills and Experience: - Proven track record in academic writing in the EEG data, Autism, and Deep Learning domain. - Strong understanding of academic research methodologies. - Know...

...requires a meticulous approach to data preparation, which is critical for the success of our subsequent modeling efforts. The challenge lies in acquiring as much relevant data as possible for accurate predictions. Project Scope: 1. Preparation Stage: The freelancer will be responsible for identifying and researching all available sources of space debris data, both free and paid. This includes a comprehensive evaluation of data providers to ensure the data's relevance and quality. The output at this stage will be an Excel table summarizing the research, which will include provider names, links to data or registration, pricing (if it is a paid source), additional requirements from the provider, and descriptions of the data. We anticipate id...

... API integration and sanity checks Milestones & Deliverables for Phase 1 1. Foundation & Data Handling: Set up the architecture and preprocess data, including cleaning and normalization. Deliverable: Preprocessing script 2. Strategy Formulation: Develop a basic strategy that initiates trades based on the direction of post-earnings announcement movements, utilizing stop loss and take profit for trade exits. Deliverable: A strategy module for immediate position initiation post-earnings based on set criteria. 3. Backtesting Core: Develop an engine for simulating strategies against historical data, scalable for future strategies. Deliverable: Backtesting function accepting strategy definitions and data to simulate performance. 4. Performance Tool...

...experienced Data Scientist who is particularly adept in R studio. The project involves approximately 3.5 million entries from an accounting firm's datasets and should follow the CRISP-DM framework. Responsibilities: - Data cleaning and preprocessing: Ensuring data is correctly formatted and that outliers, missing values, or inaccuracies are dealt with. - Exploratory data analysis: Extracting insights from the datasets, visualizing trends and discovering correlations. - Model development and evaluation: Carrying out predictive modeling and anomaly detection. Specifically, identifying potential financial transaction anomalies. More about the project: The goal is not predefined and can range from predictive modeling to anomaly detection based on ...

I'm in need of someone to help me download the dataset "Generalization of LOngitudinal BEhavior Modeling" from a data repository. Key Points: - The dataset is "Generalization of LOngitudinal BEhavior Modeling." - I need the dataset to be downloaded from a data repository. No data cleaning or preprocessing is required as I'll handle that part. I'm looking for someone who's able to find and fetch datasets from repositories efficiently. The ideal candidate should have experience with data retrieval and be able to navigate through different data repositories. Please note that the dataset is specific, so I need someone who can accurately locate and download this particular dataset.

follow these steps: 1 Data Collection: Copy relevant text from writer work such as articles, essay or book into a document or text editor. 2 Cleanings and Preprocessing: Remove any unnecessary text such as header footers or non-essential information. You might also need to correct any formatting issues or errors introduce during copy 3 Text Analysis: Analyze the copied text for various metric such as word frequency readability score sentiment analysis or topic modeling. This can provide insight into the writing style tone and themes present in the text. 4 Statistical Analysis: Calculate statistical metrics such as word count average sentence length or vocabulary richness to gain deeper insights into the writing style and complexity 5 Visualization: Create visuali...

...user input data for the playing XI, match location, and date. While the dataset doesn't explicitly include playing XI information, it is implicitly available. I have initiated some groundwork on the project, which I will share with you to provide a starting point. Additionally, I'll provide further details as needed throughout the project duration. Key Tasks: - Develop a model capable of predicting test cricket match outcomes. - The model should also forecast player performance and team form. - Analysis of team statistics to enhance prediction precision. Required Skills: - Experience in machine learning model development. - A background in analytics, preferably familiar with cricket. - Experience with handling sports-related datasets is preferred. - Strong skills in ...

As a client, I'm on the hunt for a professional Cloud Engineer who excels in AWS Sagemaker and RStudio. Responsibilities: - Primarily, your responsibility will rest on deploying a R project to AWS. Skills and Experience: - A concrete understanding of data preprocessing and model training is necessary, although the principal task is model deployment. - Sound comprehension of deploying a model that utilizes clustering, in the realm of unsupervised learning, will be advantageous. - Prior experience with AWS Sagemaker and RStudio is of the essence. The perfect candidate will be well versed in the advanced use of AWS Sagemaker and RStudio to successfully deploy a supervised learning model.

I have a dataset consisting of numeric data from online surveys that I need to be entered into STATA. This would require data cleaning and preprocessing before entry. Key Responsibilities: - Entering numeric data from online surveys into STATA. - Cleaning and preprocessing the data to ensure its quality and accuracy. Ideal Skills and Experience: - Proficiency in STATA. - Prior experience in data entry and cleaning. - Understanding of data preprocessing techniques. - Attention to detail to maintain data accuracy. - Ability to work with numeric data.

...predict the likelihood of a connection between two nodes in a graph. - Data: The project will utilize open source data. Familiarity with handling and preprocessing graph data will be an advantage. - Dataset Size: The dataset is relatively small, with less than 1,000 nodes. Ideal Skills: - Proficient in Python: Strong programming skills in Python, with a focus on deep learning libraries like TensorFlow or PyTorch. - Deep Learning & Graph Neural Networks: Experience in building and training deep learning models, particularly in the context of graph neural networks. - Link Prediction: A solid understanding of link prediction techniques and their applications in graph data. - Data Handling: Ability to handle and preprocess graph data eff...

I'm seeking the expertise of a data scientist or machine learning engineer to develop a model for classifying various types of attacks on a KDD dataset. The ideal candidate will have extensive knowledge in the use of autoencoders for feature extraction and GRU models. Key project elements include: * Professionals will need to implement an autoencoder for feature extraction with the core goal of reducing data dimensionality. Prior experience in working with high-dimensional data and in deploying autoencoders is necessary. * Subsequently, the system built should be capable of classifying Denial of Service (DoS), User to Root (U2R), and Probe attacks within the KDD dataset. Good working knowledge of GRU models and the mentioned attacks is required. * The project inc...

I am in need of a skilled R programmer with experience in Gene set enrichment analysis to assist me in analyzing proteomic data. The data is currently in tsv format, and is raw, requiring full preprocessing. Ideal skills and experience: - Advanced proficiency in R - Extensive experience in proteomics data analysis - Ability to clean and preprocess raw data - Familiarity with tsv file format - Strong understanding of gene set enrichment analysis - Analyze protein associations and pathways Your main tasks will be to preprocess the raw data, conduct gene set enrichment analysis, and provide me with a detailed report of the results. A strong background in proteomics is highly desirable.

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 in...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 passion for data science and a flair for building innovative AI solutions, I&rs...

I am looking for a proficient Python expert to assist me with solving a supervised learning problem in machine learning. This project involves tasks such as: - Data Preprocessing: Cleaning, transforming, and organizing raw data. - Model Selection: Choosing the most optimized model based on the problem and data provided. - Feature Engineering: Creating features from raw data that help improve the model's performance. The ideal freelancer for this project should have comprehensive experience with Python and expertise in supervised learning. A background in data preprocessing, model selection, and feature engineering would greatly contribute to this project's success. . Note : Type rrr in the start of your proposal. and my fixed b...

...selected candidate will play a pivotal role in defining and implementing a comprehensive risk assessment framework that leverages transactional data, user behavior patterns, and other relevant factors to identify and mitigate potential fraud risks associated with credit card cash-in transactions. Key Responsibilities: Risk Factor Identification: Collaborate with stakeholders to identify and prioritize key risk factors relevant to credit card cash-in transactions within the mobile wallet ecosystem. Evaluate the impact of each risk factor on transaction security and user trust. Data Analysis and Modeling: Conduct thorough analysis of transactional data, user profiles, and credit card information to extract meaningful insights and develop predictive models for risk ...

The assignment encompasses a comprehensive exploration of credit risk prediction through data preprocessing, probabilistic modeling, the application of Generative AI, and stress testing. It is structured into four main parts: Data-preprocessing: This section emphasizes understanding the impact of borrower income on credit risk, analyzing income trends over time by state, and identifying growth rates. The qualitative discussion on income's role sets the stage for quantitative analysis, including data description, time series plotting, and the integration of these insights into mortgage data. PD Modelling: Two models are developed to estimate the probability of default (PD) — a basic model using FICO scores and loan-to-value (LTV) ratios...

...websites for historical election data. The successful candidate will be responsible for gathering data from multiple sources, extracting various data points, and compiling them into a structured format for analysis. *Responsibilities:* 1.⁠ ⁠Identify and scrape data from a list of election monitoring websites. 2.⁠ ⁠Extract relevant data points such as election dates, candidates, voter turnout, election results, and any other pertinent information. 3.⁠ ⁠Ensure accuracy and completeness of scraped data. 4.⁠ ⁠Organize and format the scraped data for easy analysis and integration into our database. *Requirements:* 1.⁠ ⁠Proficiency in web scraping techniques using tools like Python's BeautifulSoup, Scrapy, or similar frameworks....

...encompassing feature selection methods, data pre-processing tactics, and fake review detection algorithms. It's crucial that the proposals are supported by academic papers published from 2021 to 2024. Key responsibilities: - Research cutting-edge feature selection technologies. Although there are no pre-set preferences, Information Gain, Chi-Square, and Recursive Feature Elimination are worth considering. - Develop robust data pre-processing methods. - Work on advanced fake review detection algorithms. - Deliver high-quality papers for the three objectives specified earlier. The freelancer must be able to start work immediately. Experience in academic research and a strong understanding of recent developments in machine learning algorithms and data pre-proce...

I'm looking to solve a classification problem with my tabular data using Python. Skills and Experience Needed: - Capability in Python programming is crucial, familiarity with libraries such as pandas, sklearn, and keras is necessary - You should be proficient in machine learning algorithms, specifically focusing on data classification - Experience in handling and manipulating tabular data for machine learning applications - Understanding of data cleaning, preprocessing and feature engineering Project Requirements: - Development of a Python-based data classification model - Utilizing machine learning techniques to process tabular data - Rigorous testing of the model's accuracy and improving it if required - Documenting the step...

...proposals. Summary of work: API Implementation: Develop the necessary endpoints or methods to interact with the GPT API securely. This includes handling authentication, sending requests to the GPT API, and processing responses. Symptom Extraction: Implement logic to extract up to 4 symptoms from the user's conversation. This may involve preprocessing the text inputs, identifying relevant keywords or phrases indicative of symptoms, and formatting the data appropriately for input into the GPT API. Disease Confirmation: use disease wight we already provide to confirm if any disease mentioned by the user matches the allowed list of diseases. If not confirmed, identify the most probable diseases based on the symptoms provided and interact with the GPT API to ask additi...

...their downfalls. Your analysis should deeply explore feature selection, preprocessing and the algorithms used in current methodologies. Key components expected in the project include, but are not limited to: - An analysis of feature selection methods, as I find this area to be the most complex. Show how current methods might significantly affect the process of fake reviews detection. - Investigation of preprocessing steps adopted in fake reviews detection, and finding possible reasons why they fail. - Studying the algorithms employed in fake reviews detection and proposing suggestions for their enhancement. Ideally, I am looking for an individual who has a solid experience in reviews detection, data preprocessing, feature selection and creating algorit...

I have a series of 11 Data Science assignments that I need some assistance with. The tasks revolve around: 1. Data cleaning and preprocessing 2. Exploratory data analysis 3. Application of machine learning algorithms The assignments will delve into different topics that include Regression analysis, Classification, and Time series analysis. I need these tasks completed within a month. An ideal candidate should have a strong foundation in these areas and able to provide top-quality solutions with efficiency. If you have a knack for data science and experience in handling similar projects, I'd love to hear from you.

I am looking for an experienced Senior Data Engineer for interview training. Your primary responsibility would be data cleaning and preprocessing, design and optimize database and implement ETL processes. Key responsibilities include: - Clean and preprocess data to ensure its quality and efficiency. - Design and optimize databases, aiming for both flexibility and speed. - Implement ETL (Extract, Transform, Load) processes to facilitate the effective and secure moving of data. Skills and Experience: - Proficient in Python, SQL, and Hadoop. - Expertise in handling medium-sized databases (1GB-1TB). - Proven track record in ETL processes handling. Your expertise in these areas will be crucial to the successful completion of this project.

...job search recommendations, resume analysis, and chatbots. ● Collaborate with product managers, and software developers to define AI requirements and integrate AI capabilities into the platform. ● Design and implement data pipelines for collecting, processing, and transforming data to train AI models. ● Perform data preprocessing and feature engineering to extract meaningful insights from structured and unstructured data. ● Develop and implement NLP techniques for tasks like text cleaning, tokenization, and vectorization of resumes and job descriptions. ● Pre-process text data for use in machine learning models for job recommendation and resume analysis / matching. ● Ensure compatibility between NLP processing and model needs. ● Utilize machine ...

I am in need of a professional Machine Learning expert to join my project. Whilst this task does not require specific tasks to be performed, applicants should possess a broad knowledge of machine learning and should be comfortable with a range of responsibilities, potentially including but not limited to data preprocessing, model training and model evaluation. Ideal Skills and Experience: - An expert understanding of machine learning concepts and algorithms - Proficiency in relevant ML tools and software - Solid experience in a similar role or project Your application should detail your machine learning expertise and any relevant past projects. Please highlight any similar projects you've worked on recently. I look forward to viewing your applications and working tog...

I'm seeking a proficient deep learning engineer familiar with generative AI models. This project involves tasks typical of the development of these models, requiring you to have a broad understanding of data preprocessing, model training, and algorithm development. Ideal Candidate: - Has a robust understanding and experience in Python, TensorFlow, and PyTorch - Can complete tasks within a strict 3-day deadline - Accepts fixed amount project payment, non-negotiable Please Note: - This project isn't available for new freelancers - Applications without past work, experience, or detailed project proposal will not be considered

...within unstructured text data. You will also be responsible for implementing comprehensive data cleaning and preprocessing pipelines. Key requirements for the project: * Proficiency in implementing NLP models or algorithms for topic modeling. * Experience in processing various forms of unstructured text * Capability to address data inconsistencies and enhance data quality. The ultimate goal is to effectively use these NLP algorithms and models for topic modeling on an abundance of unstructured text data. Any specific NLP model or algorithm for this purpose is yet to be specified so your insights and recommendations are welcome. A strong understanding of machine learning, NLP, and data science principles will be crucial to this role. ...

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

...and highly skilled machine learning engineer or data scientist to develop a transformer-based model for the classification of audio datasets provided by the DCASE (Detection and Classification of Acoustic Scenes and Events) challenge 2023. Project Goals: 1) Transformer Model Development: Design and implement a transformer-based neural network architecture suitable for processing audio data. The model should be capable of effectively capturing temporal dependencies and patterns present in audio sequences. 2) Data Preprocessing: Conduct comprehensive preprocessing of the DCASE 2023 audio datasets to ensure compatibility with the transformer model. This includes data cleaning, feature extraction, normalization, and any other necessary preproc...

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

...Learning who can support my project's data preprocessing and cleaning, as well as model building and training tasks. Key Tasks: - Data preprocessing and cleaning: As the project is heavy on image data, you will need to efficiently clean and preprocess the data for optimal use. - Model building and training: The primary task will be formulating a proficient model and ensuring its effective training using the collected image data. Requirements: - Proficiency in Python language - Comfortable in using TensorFlow for deep learning functionalities - Experience in dealing with image data - Demonstrated expertise in model training and evaluation This project requires a combination of analytical skills and practical experience in M...

Looking for a professional who possesses intermediate level Python skills along with MongoDB expertise. Key Responsibilities: - Designing a MongoDB database - Importing/Exporting data - Optimizing queries Ideal skills include: - Proficiency in Python - Extensive understanding of MongoDB and related tasks - Capability to work independently with minimal supervision. Please note that the specific functionalities to be implemented will be discussed as we move forward with the project. Suitable candidates should be prepared to begin work immediately. Please note that the successful bidder will be expected to have: * Solid Python development skills. * Experience with asynchrony and OOP. * Proficiency in MongoDB. * Knowledge of Docker and docker compose. * Excellent debugging skil...

I need a machine learning engineer who is skilled at Python programming. The role includes handling multiple tasks: - Data preprocessing: You are to organize and transform raw numerical data to get it ready for model training. - Model training and evaluation: This involves designing and testing the efficiency of the machine learning model. - Prediction and Decision making: Following a successful model training, you'll be responsible for making predictions upon new data entries and helping me make informed decisions based on those predictions. A deep understanding of data analysis using Python, experience in numerical data processing, and a solid background in machine learning would be ideal for this job.

**Title: Data Analysis of Airline Ticket Pricing Based on Supply and Demand** **1. Introduction** - Overview of the project - Importance of understanding supply and demand in airline ticket pricing - Objectives of the project **2. Data Collection** - Source of data: Obtain historical data on airline ticket prices, flight schedules, passenger bookings, and other relevant variables. - 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. - D...

Tasked with executing a fundamental logistic regression analysis, I'm specifically looking to assess probabilities of events. Armed with a ready-to-use dataset, the perfect freelancer for this project should execute this without requiring any data cleaning or preprocessing. The skill sets and experiences expected for this project include: - Profound knowledge and expertise in R language - Significantly experienced with logistic regression techniques - Proven analytical and problem-solving skills - Strong data interpretation abilities. - Prior experience in similar statistical analysis projects will be an added advantage. Your role will be to: - Execute a clean logistic regression using the provided dataset - Determine the probability of an event occurring. A ...

...The ideal freelancer would be able to: -Design and develop solutions within the realm of machine learning to enhance the functionality of circuit designs. -Preprocess and analyze data using Python in conjunction with machine learning methods for improved circuit analysis. Owing to the nature of this project, experience in the following areas would be beneficial: -Electrical Engineering: Specifically circuit design; knowledge in power distribution and control systems would be a plus. -Machine Learning: Experience in data preprocessing, model training, and model evaluation. -Python: Skilled in scripting and data analysis; understanding of web scraping would be advantageous. If you fulfill these requirements and are ready for an exciting project fusing Elec...

...undertake tasks in data cleaning, preprocessing, statistical analysis, and data visualization. Here's a bit more about the job: Specific Tasks: - Start with cleaning and preprocessing structured data, which happens to be in a spreadsheet. - Apply your statistical analysis skills to garner valuable insights from this dataset. - Craft clear, compelling data visualizations that highlight the main findings. Results should be compiled into a succinct yet thorough written report, showcasing the insights you've derived from the analysis in a clear and understandable manner. Ideal Skills: - Proficiency in R Studio - Strong statistical understanding - Ability to create insightful data visualizations - Excellent written communication s...

I am looking for a person that has experience with object detection and semantic segmentation with MMSegmentation. I need someone to modify my Google Colabolatory notebook that is currently doing data preprocessing then model training and finally evaluation using YOLO. Goal is to replace YOLO. Structure, logic and the idea of the notebook should be the same

Developing a Document Summarization Tool from scratch involves several detailed steps, each crucial for achieving a functional and effective tool. Firstly, begin with Data Collection and Preprocessing. This step requires gathering a diverse dataset of documents spanning various topics and styles. Once collected, preprocess the data by cleaning it of any irrelevant information, tokenizing the text into manageable units, and formatting it appropriately for further processing. Next, proceed to Model Architecture Design. Here, you'll need to decide on the architecture of your summarization model. This can range from a basic sequence-to-sequence model to more complex architectures like Transformer-based models. Consider factors such as model size, computational effic...

I require assistance with copying and pasting data drawn specifically from website content. The project not only involves pasting of information but also the removal of any duplicates to maintain data integrity. Your data handling skill, keen eye for detail and knowledge of standard data formats are what I am looking for. The ideal candidate should have a proven track record in data entry especially preprocessing raw data from websites.

Thank you for considering my services for training a BERT model on Suricata EVE JSON events. Based on our discussion, we will be focusing on utilizing either DistilBERT or TinyBERT General models for this task. The project involves preprocessing Suricata EVE JSON files to a format suitable for BERT, training the selected model on the preprocessed data, and delivering the trained model. The total project cost for this endeavor is $250, as previously discussed Thank you for entrusting me with this project. I look forward to the opportunity to collaborate and deliver a successful outcome.

As a seasoned data analyst with multiple datasets that need tending to, I'm looking for a Python programmer with a solid proficiency in data cleaning, preprocessing, visualization, and statistical analysis. Specific tasks you'll need to perform, include: - Conducting thorough cleaning and preprocessing of my datasets to prepare them for further analysis - Developing insightful data visualizations to help identify patterns, trends, and outstanding points - Performing rigorous statistical analyses to give robust, reliable insights Unfortunately, the previous freelancer I worked with didn't formulate any evaluation metrics. While Accuracy, Precision and Recall are among those I'm familiar with, I'm quite open to suggestions for ot...

I require a highly proficient individual with solid understanding of analyzing cyber security parameters such as Network traffic, Malware detection, and User behavior. • Data Cleaning: You will be tasked with removing duplicates and handling missing values to align our data for effective analysis. • Data Preprocessing & ML: Duties will involve feature scaling for normalization and standardization, and selecting the best fitting ML algorithms to facilitate robust cyber security analysis. The dataset for this project is relatively small, with less than 1000 records. A background in cyber security accompanied by previous experience in similar projects would be ideal for seamless delivery on this project.

...by employing state-of-the-art data analytics, natural language processing (NLP), and machine learning techniques. The project will involve the creation of a robust system capable of collecting and analyzing customer data, segmenting audiences, generating customized marketing content, and providing product recommendations based on user preferences. Key Project Phases: 1. Technology Selection: Identification and selection of optimal technologies, including Large Language Models (LLMs), NLP frameworks, and data analytics tools to ensure scalability and efficiency. 2. Data Collection and Preprocessing**: Implement techniques for extracting relevant customer data from CRM systems and databases, emphasizing data quality through thorough clea...

I am seeking a specialist for an Excel Exploratory Data Analysis (EDA) project who can conduct data cleaning, preprocessing, data visualization, and statistical analysis. The project will involve working with both categorical and numerical data and variables. The required skills and experience include: - Mastery in Excel for data cleaning and preprocessing - Proficient in data visualization using Excel - Familiarity with statistical analysis The primary objectives for this EDA project are: - Identification of patterns and relationships within the data - Detection of outliers or anomalies in the data - Understanding the data distribution of variables Please ensure your proposal clearly illustrates your past ...

...photographs of texts, and screenshots. Key Tasks involve: - Data preprocessing and cleaning: We need these tasks performed to maintain accuracy during the text extraction process. - Model development and training: Your role will involve the creation and training of a machine learning model that can accurately extract text from a variety of image types. - Performance evaluation and optimization: After developing the initial OCR System, I'll need you to regularly evaluate and enhance the system's performance for quality assurance. Ideal Skills & Experience: - Solid expertise in Python and machine learning - Prior experience developing OCR systems - Strong grasp of image processing mechanisms - Proven track record in data preprocessing, cle...

I am in need of a developer proficient in Scala 2.12 to build an interactive web appli...using the Play Framework. This project aims to develop a real-time dashboard that analyzes and visualizes weather data using Play Framework, Scala, and Apache Spark. Key Components: Weather Data Source Data Processing with Apache Spark Integration with Play Framework Data Visualization Requirements i) Fetching real-time weather data from a weather API or Dataset ii) Using Apache Spark's streaming capabilities (Spark Streaming) to process the incoming weather data in real-time. iii) Implementing data preprocessing steps such as cleaning, filtering, and aggregating the data as needed for analysis. iv) Developing a web interface using...

...proficient Python expert, specializing in machine learning, deep learning model implementation, and data preprocessing. Key tasks entail: - Feature Engineering: Transforming raw data into features that represent the underlying patterns, assisting in improving the performance of my machine learning models. - Data Cleaning: Ensuring data integrity by removing any noise, inaccuracies, or irrelevant components. - Model Implementation: Developing, tailoring and executing machine learning and deep learning models. Please note that the size of the dataset isn't confirmed at this stage, but preparedness to handle large datasets is a plus. Ideally, you should have significant experience with data preprocessing, ML and DL models, and a...

I'm looking for an experienced data analyst who can help transform raw data into meaningful insights, specifically focusing on identifying patterns and trends. The ideal candidate will have a proven track record of working with large datasets, cleaning and preprocessing data to make it analysis-ready, and performing thorough statistical analysis to uncover underlying patterns. ** Requirements: ** - Proficiency in Python for data analysis tasks. - Strong experience in data cleaning and preprocessing, ensuring data quality and integrity. - Capable of conducting advanced statistical analysis to detect patterns and trends within the data. - Experience with data visualization is a plus, though the main focus will be on ...

I am looking for an efficient data scraping specialist who can extract information from I need all the fields provided in the URL listings. Criteria: -Ideal candidates should have a thorough working knowledge of data scraping software and have previously worked on similar projects. - I don't have specific fields to extract but I'm interested in, the more data you can extract, the better. - All the data gathered should be delivered in an organized Excel format. - Cleaning or preprocessing the data isn't a current requirement. - Efficient and detailed scraping abilities will be beneficial for this task. This project will require you to navigate through approximately 7,000 search results on the indicated website. An attached sample