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    1,092 knn kaggle jobs found, pricing in USD

    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.

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    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 :-

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

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    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.

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    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!

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    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...

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    ...agreement. The last time we filled this job position for over 2 years. 1) Data Analytics with Python Course: Content (introduction to python, data wrangling with pandas, descriptive statistics with python, data visualization with seaborn, t-test/anova /chi-square tests with python, correlation, regression with statsmodel) 2) Machine Learning with Python Course: Content classification(dcision trees, knn, naive bayes, logReg, classifier evaluation) regression (linear regression with normal equation, stochastic gradient descent, polynomial regression, ridge regression, lasso regression, elastic net, early stopping, regression trees) advanced supervised learning concepts (feature extraction, imbalanced data ,cross-validation, hyperparameter tuning with grid and random search, over...

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    I'm searching for an experienced MATLAB developer to craft a unique K-Nearest Neighbors (KNN) regression algorithm. Key Details: - You'll need to draw from a small public dataset to fine-tune this model. - A strong knowledge of regression methods, particularly in relation to KNNs, is crucial. - Prior MATLAB experience is a must, particularly with implementing algorithms. Overall, this project requires an analytical mind, an affinity for problem-solving, and the ability to work well within MATLAB's coding environment. The right developer will demonstrate an understanding of regression methods and the ability to apply this knowledge to small, complex datasets.

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    I want an instructor to teach me machine learning (ML) using Python. My experience in Python is 1 out of 10. I want to learn how to build a regression model as well as a classification model. Hence, I want to focus on supervised learning. Moreover, I want to learn the following algorithms "GB, AdaBoost, RF, ANN, DT, SVM, kNN,and LR. Additionally, I want to learn how to do feature engineering to specify the most relevant parameters to my output. Finally, I want to learn but not in deep about unsupervised learning to be able to do at least a simple model. My budget is small, and I want one session per week, and I want to learn that in 2-4 months.

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    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 %

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    I am seeking an experienced machine learning professional, proficient in Python, to develop a reliable model for detecting and classifying brain tumours. Core project components include: - Utilizing machine learning techniques, specifically: VGG16, SVM, KNN. - Working with data sourced from MRI images. Ideal Skills: - Strong background in Python programming. - Extensive knowledge of machine learning algorithms, with an emphasis on VGG16, SVM and KNN. - Capable of handling, pre-processing, and analyzing MRI image data. Experience Required: - Prior experience with brain tumour detection, or a closely related machine learning project would be ideal. - Good understanding of machine learning algorithms and how to implement them effectively. Your task will be to use these alg...

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    I'm looking for a talented Python programmer who can create a stack ensemble using multiple machine learning algorithms. The successful freelancer will: - Develop a stack ensemble using: - Random Forest (RF) - Support Vector Machine (SVM) - Logistic Regression (LR) - K Nearest Neighbor (KNN) - Naive Bayes - Compare the output through voting with a trained Artificial Neural Network (ANN). I am seeking a freelancer who has a deep understanding of these algorithms, can showcase their ability to deploy them effectively and explain their approach in a detailed project proposal. The proposed solution should provide comprehensive code implementation and commentary explaining the methods used and their effectiveness. Dataset Utilization: - The KDD-NSL dataset - The UNSW-N...

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    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...

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    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 ...

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    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...

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    ...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...

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    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

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    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

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    ...implement AI algorithms in search engine optimization (SEO) using SVM and KNN. Preferred Programming Language: - Python Specific SEO Algorithm: - Yes, I have a specific SEO algorithm in mind that I would like to implement. The model should be based on SVM and KNN algorithms, The results should contain : -prediction of the class -scatter plot for both algo -Training versus testing Graph for both -accuracy should be above 90% Main Purpose of Implementing AI Algorithms: - The main purpose of implementing AI algorithms in my SEO strategy is to predict keywords ranking. Ideal Skills and Experience: - Proficiency in Python programming language - Knowledge and experience in implementing AI algorithms, specifically SVM and KNN - Prior experience in search engine opti...

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    ...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...

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    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

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    ...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 ...

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    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 ...

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    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.

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    ● The proposed website aims to provide a comprehensive visualization platform for five fundamental machine learning algorithms: K-Nearest Neighbours (KNN), Logistic Regression, Decision Tree, Support Vector Machine (SVM) and Random Forest. These algorithms will be demonstrated in the context of analysing a student performance dataset, offering an interactive and educational experience for users interested in understanding how these methods work in practice. ● In addition to the visualization component, the project will utilize the trained algorithms to predict future academic outcomes of students. It will also produce detailed insights into the factors affecting student performance. What I want Integrate plotly vizualization into the same Flask app. Add Animated Visualization Pred...

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    ...Familiarity with machine learning fundamentals - Aware of optimization techniques and differences (gradient decent variants, hyperparameter tuning, regularization) - Some experience with different problems and domains, ideally specialized in at least one (supervised, unsupervised, generative, control/RL, anomaly detection, timeseries, etc.) - Familiarity with a couple of traditional ML models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.) - Basic understanding of deep learning fundamentals (CNN, RNN, attention/memory, Autoregressive) and ideally some applications of extensions (Transformer, LSTM, ResNet, etc.) - Experience coding with popular frameworks - Solid with Python (basic data structures, coding patterns) along with common data, mat...

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    nswering questions in the xdoc to xlsx. Using Vlookup, Multiple Regression, KNN, Gradient Descent, Dichotomous Search, and KMeans.

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    ...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

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    ...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

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    KNN Ended

    KNN nearet neightbour with three priority queue

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    I am looking for a freelancer who can help me with the extraction of a graph from a specific research paper using Python. The ideal candidate should have experience with different models like CNN. Specific requirements: - Extract a graph from a specific research paper - Use CNN model for graph extraction Desired skills and experience: - Proficiency in Python - Experience with graph extraction using CNN model The extracted data should be saved in a Python data file format.

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    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.

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    I am looking for a freelancer to develop a heart disease prediction model using K-nearest neighbors (KNN) algorithm. The project involves the following requirements: - General heart disease prediction: The model should be able to predict the presence or absence of heart disease in individuals. - Dataset: I will provide the dataset to be used for training and testing the model. - Desired accuracy: The prediction model should achieve an accuracy rate of 70-80%. Ideal skills and experience for this project include: - Proficiency in machine learning algorithms, particularly K-nearest neighbors (KNN) - Experience in data preprocessing and feature engineering - Strong knowledge of Python and relevant libraries such as scikit-learn - Ability to analyze and interpret data accuratel...

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

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    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.

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    I have an NLP model using Random Forest for data classification. I need that: 1. Analyze the dataset, understand if it is necessary to do any balancing techniques or increase the amount of data. 2. Validate the existing model, the techniques used and points for improvement according to analysis 1. 3. Create 2 other models to perform tests (example: KNN + RF) 4. Comparative analysis between models. 5. Support for questions and possible code corrections NOTE: Much of the code is implemented. What will be necessary is to adjust the algorithm part only and create analyzes for each :D

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    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

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    ...unsupervised learning. Explain real-world applications and tools like Python and Scikit-Learn. Lecture 2: Regression Algorithms Content: Implement linear regression and polynomial regression in Python. Explain regression evaluation metrics like RMSE. Tuning model parameters. Non-linear regression techniques. Lecture 3: Classification Algorithms Content: Implement logistic regression, decision trees, KNN for classification tasks. Evaluate using accuracy, precision, recall. Improve performance with techniques like regularization and ensembling. Lecture 4: Clustering Algorithms Content: Apply K-means and hierarchical clustering to find patterns in data. Evaluate cluster quality. Use principal component analysis for dimensionality reduction. Lecture 5: Model Evaluation and Imp...

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    Project Description: I already have a project and I would like a review and explanation of the project. Furthermore, I need to test using knn and random forest to see which option is better. I have an initial dataset too. Ideal Skills and Experience: - Strong knowledge and experience in natural language processing (NLP) techniques and algorithms - Proficiency in implementing the KNN algorithm for text classification - Familiarity with preprocessing techniques for NLP tasks, such as tokenization, stemming, and stop-word removal - Experience in feature extraction and selection for NLP tasks - Ability to evaluate and fine-tune the model's performance using appropriate metrics and validation techniques

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    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

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    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

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    ...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

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    ...Technology, so you should expect quality work. We provide services in the domain of Machine Learning, AI, Deep Learning, Computer Vision, Natural Language Processing, Algo Trading. Expertise: Training Machine learning, Deep Learning, Reinforcement Learning Models Frameworks are compatible with Pytorch, Tensorflow, Keras. Training ML models like Bayesian Networks, XGBoost, Random Forest, Decision Tree, KNN Classifier, GBM, GLM, SVM. Training DL models BERT and all its variants, DNN, CNN, LSTM, GRU, Variational Autoencoders using Bayesian Neural Networks. eXplainable AI (XAI) using LIME, SHAP, GRAD-CAM, DeepLIFT, DeepRED, CausalNex. Here are some of our previous works: Hair transplant startups require some image generation for their customers. Masters Thesis in Art Generation using...

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    ...category ‘A’), and randomly select 10% images each from all the remaining categories (call it category “not A”). This will be the training dataset. Step-4: Represent these images using the output of the last fully-connected layer of the above CNN model. Step-5: Use the entire validation set and represent these images in the same way as done in step-4. Evaluate the classification accuracy of the kNN classifier on this set. Analyze the results by varying different hyper-parameters such as the choice of distance/similarity function, value of ‘k’, feature normalization, etc. Provide the confusion matrix in all the cases. Step-6: Submit all the codes along with a detailed report (PDF) containing all the results, analyses and relevant details. Also i...

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    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).

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

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    Customer embeddings are generated by averaging the embeddings of articles in customer purchase history Similar items are found using KNN classifier from sklearn and models ares saved in pickle files in data directory Similarity metric used is dot product (1 - cosine_similarity) and scores are shown over each article image

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    ...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...

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    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...

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