Kaggleงาน

...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

...know how much ai powerful.i need an specific custom ai tool for single user/propt private usage,give turbo organic internet traffic on my same as AdWords work .before post this project.I already serach about 'build ai custom model 'and I found many platform allow to build dataset/host/run custom model free of cost ,like tensorflow/pytorch/colab/teachable machine /diagflow/streamlit/kaggle/clarifai/python anywhere/keras etc,I can't build because i haven't knowledge of programming,don't make me I have analytic account and several AI tool available for found where traffic come on organic internet traffic generator ai tool.i like appreciate if anyone responded is fixed because no need to buy any types of online is available free of cost

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

...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.

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 :-

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 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 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...

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 %

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...

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...

I am looking for an expert in Vision Transformer Model for a project that involves image detection and classification to classify and display the result as the tumour in to glioma, meningioma and pituitary and no tumor type.. - The specific task is to develop a model that can accurately classify images. - Can use Kaggle dataset for the model to train on. - The preferred programming language for this project is Python. Ideal skills and experience: - Strong knowledge and experience in Vision Transformer Model - Proficiency in Python programming language - Familiarity with image classification techniques and algorithms - Experience in training and fine-tuning models using large datasets - Ability to optimize and improve model performance

I am looking for an expert in Vision Transformer Model for a project that involves image detection and classification to classify and display the result as the tumour in to glioma, meningioma and pituitary and no tumor type.. - The specific task is to develop a model that can accurately classify images. - Can use Kaggle dataset for the model to train on. - The preferred programming language for this project is Python/MATLAB. Ideal skills and experience: - Strong knowledge and experience in Vision Transformer Model - Proficiency in Python programming language - Familiarity with image classification techniques and algorithms - Experience in training and fine-tuning models using large datasets - Ability to optimize and improve model performance

...selenium/beatiful soap etc. (on average, around 500/1000 data is sufficient. You do not need to exceed 1000!). Converting the collected data into Excel. The code used in the collection in this step (you will be asked to run it) 2)Pre-processing of the data and testing the results with at least 7 algorithms: (NOTE: If you do not collect data in the first step, you can use a ready-made data set from Kaggle. However, your 35 points will be gone.) After all the operations such as hoting the data, normalization, cleaning, etc. Then, it is subjected to SEVEN algorithm (train-test) processes and the results are obtained. This should all be done in a jupyter notebook. The best algorithm will be obtained at the end of this step. 3)Servicing the model: The best algorithm will be connecte...

The aim of this project is to implement a mul4nomial Naive Bayes model for a sen4ment analysis task using the Ro=en Tomatoes movie review dataset. This dataset is derived from the "Sen4ment Analysis on Movie Reviews" Kaggle compe44on1, that uses data from the works of Pang and Lee [1] and Socher at al. [2]. Obstacles like sentence nega4on, sarcasm, terseness, language ambiguity, and many others make this task very challenging

...analytics and machine learning project in analysing how the features correlation and also implementing a minor machine learning model in detection of epilepsy disease in a person with the frontend that's designed according to the market standards. Dataset: The dataset needs to be sourced/collected as I do not have a specific dataset available. I really need help with sourcing realtime data and not any kaggle dataset which is already available. Machine Learning Model: I am unsure about the type of machine learning model to be used. Skills and Experience: - Strong background in data analytics and machine learning - Experience in sourcing and collecting datasets for analysis - Knowledge of various machine learning models, especially in supervised and unsupervised learning ...

I am looking to hire a freelancer to provide an in-depth machine learning report with moderately detailed analysis and highlighted key findings. The main objective of the report is classification analysis. The specific dataset to be used is at the discretion of the freelancer, although I have some suggestions for datasets. The report should be comprehensive and should explain the resul...moderately detailed analysis and highlighted key findings. The main objective of the report is classification analysis. The specific dataset to be used is at the discretion of the freelancer, although I have some suggestions for datasets. The report should be comprehensive and should explain the results and findings thoroughly. I have a sample of the report on how it should be. Data set can be any from ...

I am looking to hire someone to mine data for me on Netflix from Kaggle. I have specific criteria in mind, and am looking for the final output as a python code in jupyter. I trust that the freelancer I hire will be extremely knowledgeable in the field of data mining and take this project seriously. Discretion and a quick turn-around time are a must. If you can provide the requested services, please submit a proposal on Freelancer.com. Thanks in advance for your time and efforts.

...fligt departue to date flight arriving from date fligt departue from date flight arriving one way or 2 way to name airpot departure to name airport arriving from name airpot departure from name airport arriving Price USD city departure city arriving country departure countyr arriving HOW MANY DAYS IN ADVANCE TICKET WAS BOGHT (all values from 1 to 45) time 3 days maybe to do like (do not use kaggle data) 'Easemytrip' is an internet platform for booking flight tickets Octoparse scraping tool was used to extract data from the website. or maybe to use or

...departue to date flight arriving from date fligt departue from date flight arriving one way or 2 way to name airpot departure to name airport arriving from name airpot departure from name airport arriving Price USD city departure city arriving country departure county arriving HOW MANY DAYS IN ADVANCE TICKET WAS BOGHT (from 1 to 45) time 3 days maybe to do like (do not use kaggle data) 'Easemytrip' is an internet platform for booking flight tickets Octoparse scraping tool was used to extract data from the website. or maybe to use or

Seeking Expert Assistance for Kaggle Notebook Fine-Tuning Dear Freelancer Community, I am writing to seek the assistance of a skilled programmer with expertise in fine-tuning on a question answering dataset (it is Arabic dataset). I have been working on a Kaggle notebook dedicated to this task for several days, but I have encountered errors that have hindered my progress. I am reaching out to the Freelancer community in the hopes of finding a knowledgeable and experienced programmer who can provide guidance and support to overcome these errors either on Kaggle or Google Colab. If you have expertise in this specific area of programming or related fields or can run my notebook with results, please let me know. Thank you in advance for considering my request.

Project involves selecting a competition and modifiying/refactoring EDA or feature engineering with documentation and results. Timeline : Oct 7, 2023

I am looking for a freelancer who can deploy a financial forecasting model on Google Cloud Platform (GCP) using Python. The model is built , dataset is aligned. Need to run on GcP and get Api endpoints. Model is available for free on kaggle. Requirements: - Experience with forecasting models - Proficiency in Python programming language - Knowledge of Google Cloud Platform The ideal candidate should have a strong background in financial forecasting and be familiar with deploying models on GCP using Python. They should also have experience working with Google Cloud Platform and be able to effectively utilize its resources for this project. This is a great opportunity for someone who is skilled in model deployment and has experience with GCP to showcase their expertise.

BUDGET IS FIXED. DONT WASTE YOUR TIME QUOTING IF YOU GONNA BID MORE. I am in search of a freelancer with the capability to transform my existing code, available on GitHub at the following link: , into either a Colab or Kaggle notebook. The existing code is authored in Python and makes use of PyTorch. It is imperative that the selected freelancer not only replicates the code but also executes the associated model. Furthermore, the candidate should provide a demonstrative example of "Case C" as depicted in Figure 6 of the document available at: In particular, the notebook should possess the capability to take the "" file as input and generate output similar to the following: "Table 4 lists the results of different

BUDGET IS FIXED. DONT WASTE YOUR TIME QUOTING IF YOU GONNA BID MORE. I am in search of a freelancer with the capability to transform my existing code, available on GitHub at the following link: , into either a Colab or Kaggle notebook. The existing code is authored in Python and makes use of PyTorch. It is imperative that the selected freelancer not only replicates the code but also executes the associated model. Furthermore, the candidate should provide a demonstrative example of "Case C" as depicted in Figure 6 of the document available at: In particular, the notebook should possess the capability to take the "" file as input and generate output similar to the following: "Table 4 lists the results of different

I have a dataset from Kaggle. Need to do analysis of it from the same by applying Hierarchical clustering, KNN, Regression, Boosted Tree, Decision tree, grid search cv and python

...Python programming language. Predicting a person's mental state using the given have been given a dataset that contains data about a person and their mental state. Your task is to perform Exploratory Data Analysis on the given dataset, Preprocess the data and train a classification model that can predict a persons mental state provided all other data about them. You will have to make a Kaggle submission and also submit your notebook file. For a sample submission, refer to file in the Data section Your notebook should contain the following: 1) Exploratory Data Analysis Your free to explore the data and give your own EDA Some things you can include are Correlation Matrix or Heatmap Plots of your own choice that may help extract useful information 2) Statistical

hi .i am looking for dataset from server from any online multiplayer game which contains player interaction data which should not be available online(kaggle or any other data websites).

I am looking for someone to check on my selected dataset on Kaggle websites in order to give me analyses, details and assessments.

...who can assist me with a Big Data Analytics and Data Visualisation project. The ideal candidate should have experience in regression analysis techniques and be proficient in using Tableau for data visualisation. Project Requirements: - Perform regression analysis on a dataset with medium size (1,000-10,000 records) - Utilize Tableau for data visualisation purposes -use one of the datasets from kaggle. use pyspark to analyze the dataset using algorithms and tableau to explore the data set to show the result of analysis. Create full report. Skills and Experience: - Strong knowledge and experience in regression analysis techniques - Proficiency in using Tableau for data visualisation - Familiarity with data analysis and visualization best practices - Ability to work with medium-s...

I am looking for a data scientist who can help me with an unsupervised learning project on health data. Algorithm: - I would like to use various algorithms to analyze the data. Data is ready on Kaggle Data: - The project will involve analyzing the frequency of mental health disorders among tech workers. Focus: - Since the data has high dimensionality and complexity, we should provide a better overview over the data in ways which are more easily interpretable and transferable to improvements. The goal is to categorize participants of the survey according to their answers and to provide visualizations supporting the interpretation of these clusters Skills and Experience: - Strong knowledge and experience in unsupervised learning algorithms. - Proficiency in data analysis and int...

make software using Pytorch i.e. drug recommendation system using ml or deep learning .analyzing 3-4 symptoms and recommend the medicines varieties list of 2-3 medicine. the medicine list and symptoms database is available in Kaggle for free to take .its a simple project for college submission. I can provide u with the datasets.

I need to write R code for Decision Tree classification for the file "Amazon_top100_bestselling_books_2009to2021" which is available on Kaggle. After writing the code , we should be able to interpret the Plots and show the plots

...Task 3: Kaggle Competition Additionally, you should submit your solution for the data set to the Kaggle Competition. Note that the goal is not to overfit the test set data to achieve a good position in the public leaderboard. Your rank position in the private leaderboard will be accounted for in the final grade. Tools You can use R or Python. You can find material for dynamic reporting in R with markdown if you choose to use R. You can use the Colab Research Notebooks or Jupyter Notebooks if you decide to use Python. Deliverables file containing the following items: the source of two ready-to-execute dynamic reports or notebooks with all the code necessary to reproduce the results you present for i) Task 1; and ii) Task 2, including the solution submitted to K...

can you help me with my machine learning assignment, It's a simple assignment about- you have to download a dataset of tweets describing US airlines. (Note: she will need to create a free account on Kaggle to be able to download the data.) and then You should create a Google Colab notebook, upload the data, extract the tweets and class labels (positive/negative/neutral) from the CSV file and then train (and later evaluate) one or more linear classifiers (e.g. Logistic regression on an SVM) on the text as we did in the second tutorial.

I am looking for a skilled data scientist to help me build a Federated Learning Model using a Healthcare Dataset from Kaggle. The deadline for completing the model is 1-2 weeks. The ideal candidate should have experience building Federated Learning Models and working with healthcare datasets. The detail description of the project is attached herewith.

Find an image processing application, capture your images, and apply some useful images processing methods to extract important information. Formulate a way to evaluate, quantitatively and qualitatively, the methods you have applied.

I am looking for someone is expert about kaggle dataset to give me some details about one dataset which i am interested in. give me information about the following: 1-summary about it 2-Training dataset size: 3- Testing dataset size: Avg. statement length (tokens) if we split dataset into 20% for testing and 80% for training:

The work need to build classifiers using the techniques. At the very minimum, you need to produce a classifier for each method (DT, KNN, RF, SVM and NN). However, if you explore the problem very thoroughly, preprocessing the data, looking at different methods, choosing their best parameter settings and identifying the best classifier in a principled and explainable way, will be needed. If you choose to use KNIME and you show 'expert' use (i.e. exploring multiple classifiers, with different settings, choosing the best in a principled way and being able to explain why you built the model the way you did), optimize and test different models, this will be better.

dataset to be taken from kaggle, I have the code written in tensorflow but it has several errors that needs to be resolved in addition to I also want the architecture model with novelty and compare its accuracy with other models The main architecture model should have an accuracy >94% . The work needs to be completed within 4-5 days.

Text Emotion Classifications using BERT, RoBERTa, DistilBERT, and XLNet on Kaggle Ideal Skills and Experience: - Strong knowledge of BERT, RoBERTa, DistilBERT, and XLNet - Experience in natural language processing - Proficiency in Python - Familiarity with machine learning and deep learning techniques - Understanding of sentiment analysis and emotion classification - Ability to work with large datasets - Strong analytical and problem-solving skills

-User have to input login detail -user then have to input several information of their health -after entering all the information, the system will display the percentage of risk of heart disease -the app have to use SVM method to train the data and using dataset from kaggle that i will provide - and system will display recommendations based on the percentage risk

Text Emotion Classifications using BERT, RoBERTa, DistilBERT, and XLNet on Kaggle Ideal Skills and Experience: - Strong knowledge of BERT, RoBERTa, DistilBERT, and XLNet - Experience in natural language processing - Proficiency in Python - Familiarity with machine learning and deep learning techniques - Understanding of sentiment analysis and emotion classification - Ability to work with large datasets - Strong analytical and problem-solving skills

Run Kaggle on Google Colab for Model Training Using Python Project Overview: I am looking for an experienced data scientist who can help me run a specific Kaggle competition on Google Colab for model training purposes. My goal is to use this dataset to train a model that can be used for future prediction and analysis. Required Skills and Experience: - Strong knowledge of Python programming language - Experience using Kaggle or similar datasets for model training - Familiarity with Google Colab and its features - Understanding of machine learning algorithms and techniques Project Deliverables: - Set up and configure Google Colab for the Kaggle dataset - Clean and preprocess the data for model training - Develop a machine learning model using Python - Test an...