Kaggle edaemplois

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...signal application. The core of this project will be to implement an LSTM (Long Short-Term Memory) neural network that utilizes techniques like Fourier transform among other signal processing methods to generate buy and sell signals based on historical cryptocurrency data. Key Project Requirements: - Data Handling: The application should be able to import and use cryptocurrency data from this Kaggle dataset: Binance Full History. - Signal Processing: Integrate Fourier transform and other signal processing techniques to analyze the data. - Model Implementation: Develop and train the LSTM neural network model to predict potential buy and sell points. - User Interface: Design a user-friendly GUI that displays graphs, essential text-based information, and allows users to easily swi...

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...and PCB layout. BOM (Bill of Materials) with sourcing options. Documentation for assembly, testing, and troubleshooting. Qualifications: Proven track record with PCB design for power-intensive and multi-function projects. Proficient with voltage regulation techniques in PCB designs. Familiarity with RP2040 microchip and serial communication protocols. Proficient in electronic design automation (EDA) tools. Strong analytical skills and attention to detail. Proposal Requirements: Portfolio showcasing relevant projects, especially those involving power management and microcontroller integration. Detailed proposal including timeline, milestones, and budget estimation. We are excited to collaborate with a professional who is passionate about bringing advanced electronics projects to...

I'm in need of skilled programmers to develop interfaces for my Place and Route EDA flows. The ideal candidate will have experience in the following: - Proficiency in Python and/or C++ - Familiarity with VHDL, Verilog, and SystemVerilog - Experience in file input generation - Strong file parsing capabilities - Ability to manage EDA flows using TCL The interfaces need to be able to handle the entire EDA flow, from file input generation to error reporting. Experience in developing similar interfaces will be a big advantage. Please include relevant work samples in your bid.

...input. I want users to be able to input a large list of company names and receive an output in a downloadable Excel sheet. Although I initially explored utilizing an [API from ](), I encountered difficulties with downloading data or obtaining an API key, possibly due to issues with their website. but was able to find [this csv file on kaggle]() containing information of companies from 1857-2020. My initial approach is to use appwrite for backend and react for frontend. populate the appwrite db with information from the csv file. then build the react frontend. however I can't help but wonder that there must be an easier way to do this

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I'm looking for a skilled freelancer to help me with a personal data analysis project, using Kaggle and Tableu. - You must have solid experience in data identification, visualization, and analytics. - Your main goal will be to create an insightful dashboard that will help me with hypothetical decision making. You must show relationships and justify predictions from the data. You are still supporting the hypothetical decision maker your main deliverable for this assignment is a presentation that describes how you approached the problem, what data you considered, and your predictions. - Please only apply if you have proven experience in similar projects. Please include relevant experience in your application.

In this project, you will analyze the performance of products within an online retail dataset to uncover insights that can inform strategic business decisions. Leveraging transactional data, including sales revenue, profit margins, and customer reviews, you will conduct...revenue, and correlations between performance metrics. Additionally, you will delve into customer feedback to gauge product satisfaction and uncover areas for improvement. By providing actionable recommendations based on our analysis, you aim to optimize product offerings, enhance customer satisfaction, and drive business growth. Dataset: you will utilize the "Online Retail II Data Set" available on Kaggle, which contains transactional data from an online retail store, including information on products, ...

...CCD. I need a freelancer who can not only create this code but also provide a detailed explanation of the work process and how the models function within the provided code. The freelancer should have: - High level understanding and experience in Python programming - Extensive knowledge and experience with neural networks - Ability to clearly explain complex programming models - Experience with Kaggle datasets is a bonus The scope of the project includes: - Data cleaning and preparation, if needed - Building two neural network models for classification of dataset - Providing a detailed explanation of the process and the functionality of the models in the code. The end deliverable should be an efficient Python code that classifies the car crash dataset using two neural networ...

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

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

In this project, you will analyze the performance of products within an online retail dataset to uncover insights that can inform strategic business decisions. Leveraging transactional data, including sales revenue, profit margins, and customer reviews, you will conduc...revenue, and correlations between performance metrics. Additionally, you will delve into customer feedback to gauge product satisfaction and uncover areas for improvement. By providing actionable recommendations based on our analysis, you aim to optimize product offerings, enhance customer satisfaction, and drive business growth. Dataset: you will utilize the "Online Retail II Data Set" available on Kaggle, which contains transactional data from an online retail store, including information on products, s...

I'm seeking a reliable data science professional skilled in Exploratory Data Analysis (EDA) with the ability to rank rows based on the EDA. Must be completed in less than 24 hours

...models and lastly deploy them to a website. Please see below for further details: > Python (or a python package) is to be used everywhere it possibly can! **Data Collection** Data can be collected (legally) from anywhere. You may use data that you already have; or from sites that allow you to download the data, for example, [UCI Machine Learning Repository]() or [Kaggle Datasets](); or via web scraping; or via an API. We can restrict ourselves to data that would fit nicely into a spreadsheet. The content and amount of data are not the main consideration, as long as the data has: - at least 10 variables - three or more data types - two or more problems: missing data, inconsistencies, errors, categorical data that needs to be converted

Objectives: To develop a model that predicts housing prices based on various features such as location, size, amenities, etc. Data Set Link: Kaggle: House Prices - Advanced Regression Techniques () Analysis Tools/Programming Language: Python, Pandas, Scikit-learn Final Outcome: A predictive model that accurately estimates housing prices. follow a step-by-step process to create ML models predicting housing prices, create heatmaps of different features to find the most correlated feature and apply several ML models on the dataset, make an evaluation metric comparing the different models based on precision, accuracy, R2 score, etc. and present the result in easy to understand ways. send me all the codes so that it can be

...This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classification model to determine the likelihood of an event's occurrence. A prediction model to quantify the value of the event...

...databases Communicate clearly with researchers and help the organization in realizing its objectives Clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums Fix bugs in the code and create thorough documentation Utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.) Effectively communicate with the researchers to comprehend the needs and provide the results Job Requirements: Bachelor’s/Master’s degree in 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 impac...

...should have experience in data analysis, specifically working with accident data. Key Responsibilities: - Develop an engaging, informative, and interactive visualizations using D3. - Analyze accident data and provide meaningful insights. Skills and Experience: - Experience with D3 - Ability to translate complex data into understandable results and suggestions. The data set being used is from kaggle Mainly 3 visualizations have to be made based on the data set 1. Geographic Heat Map: Display the intensity of accidents on the map. It captures the regions with the most frequent accidents. Locations on the map can be made interactive and hover effect can be used

I need a knowledgeable freelancer to take my existing model, currently functional on Kaggle, and deploy it within an Android application. This application should be designed to consume real-time input from both motion sensors and ECG signals. Crucially, it must process this data and generate immediate results. Ideal skills include: - Android development - Familiarity with integrating sensor technology - Experience with deploying models - Knowledge in processing ECG signals. Your role will involve deployment of the model, integrating the necessary sensors, and ensuring the seamless functioning of the system. The generated output should be immediately visible within the application.

Engaging a dedicated and experienced freelancer to partner with me in the exciting "Image Matching Challenge 2024 – Hexathlon challenges" by Kaggle. YOUR ROLE: - You'll be contributing your Machine Learning expertise for the coding and deployment of the models. MY ROLE: - As for me, I'll cover the other areas of the project aligning with my skills. REQUIREMENTS & EXPERIENCE: - Have previously participated in Kaggle challenges - Strong expertise in Machine Learning - Ability to work well as a part of a team This is a great opportunity to exercise your Machine Learning skills and contribute to challenging Kaggle competitions. Let's tackle this challenge together! No budget for this challenge, wanted to just participate.

Initial EDA 130$ 1. Download the data. 2) NASDAQ, Bit Eth and Lit data. 3) Descriptive. 4) EDA Time period for data: 10 years. S&P500 include in data too. Fed Fund Rate. Following the procedure provided into AI_ML_Research and

As an individual looking to improve an existing circuit sy...electronics engineer. Your expertise will be crucial in all aspects ranging from circuit design, PCB layout to firmware development. The specifics of the project involve: - Analyzing and refining the current circuit system - Redesigning the PCB layout for optimized performance - Firmware development for better functionality While you have the liberty to employ any CAD software - Altium Designer, KiCad EDA, Cadence Design Systems, or another of your preference, a strong proficiency and extensive experience in the use of these tools would be ideal. If you're someone who has a deep understanding of electronics, excels in problem-solving, and has a flexible approach to CAD software tools, this project is looking for ...

Task Description: As discussed, the task involves building a simple web page with grid-formatted data. The technology stack for this project is as follows: Frontend: Framework: React Markup Language: HTML Styling Language: CSS Backend: Framework: Node.js Database: MySQL The web page should consist of three p...Display counts of products sold with stores in rows and hierarchy levels in columns. Additional Requirements: Add a scroll feature where missing. Implement a feature where clicking on a store column in the first page navigates to the second page, displaying store-wise details only for that specific store. Note: Please reach out if there are any questions or clarifications needed regarding the task. Kaggle Data Link :-

...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 histograms, scatter plots, and time series plots to explore relationships between variables and identify patterns. **5. Modeling** - Regression analysis: Develop regression models to quantify the relationship betw...

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I need someone to build me 3 different deepfake detection models trained on DFD Challenge dataset by Kaggle

Milestone 1: Using Python implement a machine learning algorithm (multiple linear regression) to predict startup profits (). The following steps should be done and need to be explain the code using # comments 1. Read the dataset from the csv file and put input data in X and output data in Y. 2. Deal with missing and catego... 7.4. The coefficient of determination. 7.5. The standard error of estimate. Millstone 2: write a simple report for the steps above and code explanation. Millstone 3 (extra not required): Use plotting techniques for the above data and codes and include them in the report. Notes: 1. The project milestones should be submitted within 24 hrs. 2. the dataset and example codes are available in Kaggle. Millistones payments: 1. 20 USD. 2. 15 USD. 3. 10 USD.

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 experience with similar projects and how you intend to achieve ...

Hi Gaurav: You worked with me on an EDA Infographic -- October 6, 2023. I'd like to create a new infographic using that previous one as the design skeleton. Simple revisions to text with 7 categories instead of 5, and different brand colors. I need PPT and JPG of the infographic. Can you help?

I am urgently in need of an expert in Power BI with specialization in visualization design. I have a Kaggle dataset that I intend to primarily represent via tables. Skills and Experience: - High-level competency in visualization design with Power BI. - Proven experience in table creation and customization within Power BI. - Familiarity with Kaggle datasets. Responsibilities: - Assist in the modeling and visualization of a Kaggle dataset. - Design custom tables that adequately represent the data. - Create an detailed report using the visualizations developed. Kindly be sure to provide examples of previous Power BI table designs in your bid. Thank you!

I'm seeking an Excel professional with strong skills in exploratory data analysis (EDA). Key tasks include: - Performing data visualization - Applying descriptive statistics - Conducting missing data analysis The main goal of this project is to conduct a thorough EDA to find insights and anomalies within the data. This analysis needs to be done on an Excel file that is larger than 1GB. The ideal freelancer for this project would have significant experience working with large datasets, especially in Excel, a good understanding of EDA techniques, and a knack for uncovering hidden trends and patterns. Strong skills in data visualization, descriptive statistics, and missing data analysis are essential for this role. University project, serious individuals only as...

I will provide you with intial design but you need to improve it and make it working, also the design should be able to have holder with another small module (DC-DC step...there but it should not be a lot as I already did the design. Diagram will discuss it with you once you get awarded using video conference. Since there are many people here just bid without knowing what they are bidding on , please share your previous work also be ready for some question about board design to make sure you know what are the PCB boards. You will be paid after you deliver easy EDA project that contain : 1- schematic 2- BCP 3- shell container in 3D please note the attached screenshot is uncompleted project, you still need to add load reistor and dc-dc step up module , but attaching it just t...

I am looking for an experienced Data Scientist who will help me build a robust Deep Learning Model that can efficiently predict Pulmonary Fibrosis, using a medium-sized Kaggle dataset (10k - 100k samples). Skills and Experience: - Extensive experience in building, testing, and optimizing Deep Learning Models. - Proficiency in Python, with knowledge of machine learning libraries and packages. - Proven track record in using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer Networks. - Prior work with healthcare datasets is a plus. Responsibilities: - Retrieve and preprocess the Kaggle dataset to make it suitable for training a deep learning model. - Implement a deep learning model utilizing CNN, RNN, and Transformer Networks to predict Pu...

As a novice in Python and related data analysis tools, I'm seeking a patient and proficient tutor who can guide me and build up my skills. Your expertise should...particularly for handling CSV files. Data Visualization: Knowledge of Python libraries like Matplotlib and Seaborn for creating visual representations of data to extract insights. Scikit-learn for Dataset Loading: Understanding how to use Scikit-learn to load datasets, such as the digits dataset, and familiarity with basic machine learning dataset structures. Exploratory Data Analysis (EDA): Ability to conduct EDA to uncover insights, trends, and patterns in datasets. If you thrive on educating and guiding beginners into becoming proficient in new technical spheres, I would be very interested in discussing how...

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...domain of interest (e.g., movies, travel booking, sports, tournaments, etc.) for which you can identify a collection of (possibly open) data sources that need to be integrated. The collection should contain data from at least two different sources. Data Profiling Part 1. Export the datasets of interest and perform Elementary Data Analysis (EDA) using either existing tools and libraries or your own EDA algorithm implementations. Report the results of the EDA and comment on them in the final project documentation. 2. Design one or more relational databases to structure and store the exported datasets and show how the dependency discovery algorithms (see, UCC, FD, and IND) introduced in the course have been used to extract metadata that supported the database/s designi...

I'm in need of expertise for a Kaggle competition. I skipped questions related to objectives and prior machine learning usage, indicating a need for guidance in these areas as well. The dataset being worked on is small, containing less than 10,000 records. The ideal freelancer: -Has a strong background in machine learning -Can suggest and implement strategies to improve accuracy and optimize model performance -Is proficient in feature engineering -Has experience in handling small datasets, and can effectively manage potential issues related to overfitting or sparse data. You'll be creating an effective solution for the competition, while educating me in the process. Looking for accuracy of 98 %

...below. Description: Each record includes a beer's name and the user's name, along with the ratings he/she has given to the beer. All ratings are on a scale from 1 to 5, with 5 being the best rating. As you solve the case study, you need to complete the following tasks: Data preparation Choose only those beers that have at least N number of reviews. Figure out an appropriate value of N using EDA; this may not have one correct answer, but you should not choose beers that have an extremely low number of ratings. Data exploration What are the unique values of ratings? Visualise the rating values and notice: The average beer ratings The average user ratings The average number of ratings given to the beers The average number of ratings given by the users Recomm...

...Tableau is a must. Ideal Skills and Experience: - Proficiency in Tableau's data visualization tools - Strong data analysis skills - Experience analyzing trends and identifying patterns and outliers in complex data sets - Ability to advise on data type suitable for specific needs - Excellent communication and understanding of client objectives. To do: In this Project, your goal is to perform EDA on a set of data from The World Bank, and share your insight with the (online) world. Your objective is to conduct a broad exploratory visual analysis of the dataset; posing a series of questions, and generating visualizations to answer those questions. Your aim is to analyze the resulting visualizations, and iteratively spawn follow-up questions and more visualizations until you...

I am looking for a freelancer who can help me predict the age at which a person will suffer from Diabetes. the data set that you can use pima Indian diabetes data set which is available on kaggle or can be found on internet . with the help of that data set you need to create new data set that has following parameters 1)Family history whether some has diabetes in there family yes or no 2) Meals per day 1,2,3,4 3)Vegetarian or non vegetarian 4)Exercise daily weekly monthly 5) type of excercise-Walking only consider if greater than 4000 steps Or gym or swimming 6)Stress due to job, traveling, office 7)Rate of stress on scale of 1 to 10 8) Calories consumed per day 9) sugar consumed in a day -you can add more dataset if you feel that might be important for prediction -using this param...

...domain of interest (e.g., movies, travel booking, sports, tournaments, etc.) for which you can identify a collection of (possibly open) data sources that need to be integrated. The collection should contain data from at least two different sources. Data Profiling Part 1. Export the datasets of interest and perform Elementary Data Analysis (EDA) by means of either existing tools and libraries or your own EDA algorithm implementations. Report the results of the EDA and comment on them in the final project documentation. 2. Design one or more relational databases to structure and store the exported datasets and show how the dependency discovery algorithms (see, UCC, FD, and IND) introduced in the course have been used to extract metadata that supported the database/s d...

I require a proficient electrical engineer to create a DC voltage step-up circuit schematic design. My project necessitates a circuit that steps up the voltage from panels with varying input voltages, ranging from 18v DC to 180v DC. The desired output voltage needs to be consistently between 310v and 320v DC. The output current can be variable as it will be subject to the fluctuating input...modules and parts to use - Keep it simple and indicate complications and dangers - Give a demo of what you have designed and Drawing schematic after agreement. Ideal Skills & Experience: - Degree in electrical engineering or a similar field. - Proven experience in designing DC voltage step-up circuits. - Knowledge in solar power energy systems. - Proficient in creating schematic diagram using ...

I am looking for a data scientist who specializes in healthcare data analysis to assist with a project focused on identifying disease risk factors. Data: - The analysis will be conducted using the Kaggle diabetes dataset, which includes a wide range of patient health information. Objective: - The desired outcome of this project is to develop a predictive model that can accurately identify disease risk factors based on the provided data. Skills and Experience: - Strong background in healthcare data analysis and data science. - Proficiency in statistical analysis and predictive modeling. - Experience working with electronic health records and patient surveys. - Familiarity with genomic data analysis is a plus. If you are a skilled data scientist with a passion for healthcare and ...

I am looking for a machine learning expert to develop a model that can accurately predict Chronic Kidney Disease (CKD) with above 95% accuracy. The main source of data for this project will be Kaggle datasets. Skills and experience needed: - Strong background in machine learning and data analysis including CNN and visual transformer - Experience working with medical datasets and Electronic Health Records - Familiarity with Kaggle and ability to extract and preprocess data from this platform - Proficiency in programming languages such as Python and libraries like scikit-learn and TensorFlow The dataset is available including almost 12000 data in four classes, tumor, cyst, normal, and stone. The steps should focus on preprocessing, feature selection and classification. I wan...

...am currently at an intermediate level. I know vlookup, pivot and have an idea of formulas but have difficulty in creating formulas. Key areas to be covered include formula creation, data cleaning, and data analysis. - Excel Skills Required: - Expertise in formula creation - Proficiency in data cleaning techniques - Mastery in data analysis My idea is that we can get data from kaggle or google data search and work on it. I want to work on large data sets. I am applying for business analyst or MIS related role wherein I need to draw insights from data so I need guidance wherein I can perform these tasks by myself. I think 1 or 2 weeks of guidance would be sufficient. About 1 or 1 1/2 hour per day 4 days a week would be sufficient, I think. If you have taught some...