Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
Machine Learning is a scientific discipline which focuses on automatically recognizing complex patterns and making intelligent decisions based on available data. This branch of study develops algorithms for computers to evolve behaviors for the same. If your business needs help with machine learning algorithms, you have come to the right place. You can hire expert freelancers with machine learning experience right here. Simply post your job today!Contratar a Machine Learning Experts
You are required to prepare technical assessment questions about Data Science for a pre-assessment platform. The questions should be in the forms of multiple choice, free text and coding, and consist of different areas which are expected to be known by a Data Scientist at a hiring phase. Multiple choice questions should consist of options and free text questions should have 5 paraphrased answers. Each question should have its title generated from the specific topic included in the question. The questions should be about the following topics: Data: Databases / Mongo DB / SQL / R / Python / Algorithms / Machine Learning Techniques / Model Training You can find examplary questions from the attached document.
Hello, I want to replicate the results for 5-way partitions in this article attached and reproduce the same method for clustering for other elections and show it on the map. Here, three documents are provided: 1) The article I want to replicate the 5-way partitions for 81 provinces . It explains how they reached the results. 2) Election Results for Replication: Excel file for those 5 election results they analysed in the article for 81 provinces and the clusters the provinces belong to for each election. 3) Election Results after 2009. Excel file for other elections for 81 provinces. There are 3 things that I was wondering if you could help me get: 1)To replicate the results they get. You can use the methods they used in the article or you can use any other method as long as you can g...
Hello, I need help with a project regarding Data Engineering; Data Science and Data Engineering techniques to enable data-driven decision-making with modern software tooling Investigate and demonstrate modern techniques to structure and manage access to data as well as deploy and monitor Machine Learning models to generate Data-driven insights. This task involves the exercises which involve the following; Data Analytics Pipeline: a. Planning and Design b. Implementation and Deployment c. Application and Analysis If interested, please contact me.
Need a python developer having experience of 5+ years, and has a great understanding of data structure & algorithms, graph, python libraries, can store and represent graph data using appropriate data structures, Implement fundamental graph traversal techniques, Analyze cohesive subgraph models and their representative computation algorithms, Analyze and implement basic machine learning methods, Implement techniques for graph embedding, graph neural networks. Please read the description carefully, your skils will be tested before handling the project.
We would like to hear the opinions of machine learning practitioners on machine learning experiment management tools. Experiment management tools support practitioners performing machine learning (ML) or deep learning (DL) experiments to manage all involved artifacts and metadata (datasets, features, scripts, hyperparameters, evaluation metrics, models, …). Such tools are used to reproduce or trace experiments, analyze experiment results, and collaborate with other practitioners. Popular tools are, for instance, , DVC, or MLFlow. These tools allow users to track or log artifacts when performing experiment runs. Completing the survey takes approximately 10 minutes for each ML practitioner. Due to project constraints, we can only pay a maximum of 15 USD.
DataForce is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We are looking for a highly motivated, native Cantonese speaker with programming skills for an exciting fixed-term assignment to contribute to the development of language technologies. The ideal candidate is one who: is based in Beijing(We Provide relocation support if needed) has with a high sensibility for foreign languages and cultures has experience in and passion for working with language data and the ability to help create, categorize, audit, and improve lexical data has experience developing natural language processing code and is able to: provide input and suggestions towards innov...
I have data with labels but need an RNN setup for prediction. I am not great with RNNs and need some help setting it up to make a prediction
I would like an automated system to ingest PDF files, extract the client name from the file and then copy the file to a folder named after the client name. If possible, each file has an appendix, I would like parts of the appendix, based on certain characteristics, to be extracted from the file as a separate document.
This is what you need to do: PvP, AI, tournament, admin panel, payment system, user profile, settings and refactor old code. Other things are done. You will need to code in Unity and Nodejs. Please check the game before applying for the job: --- Please see the full project description in the file attached below ---
The purpose of this task is to develop and deploy a machine learning model using Technical and Sentiment Analysis. The candidate must have good knowledge of Sentiment analysis.
I'm looking to crawl 250 Million unique URLs and scrape the contact information from them using AI / NLP / Regex. The scrape should check the seed URL, about page, contact page, support, and faq for the information Below is the information I'm looking to scrape. All the information is unstructured and in natural language. Business / Brand name Business / Brand description Is business (true or false) Website Category (ie e-commerce, blog,etc) Website subcategory( ie clothing store) Emails Address (using NLP *not just the <address> tag) Phone Numbers Twitter Youtube Facebook LinkedIn Instagram I would like the export to be exported into a CSV/database. you will have to use a combination of regex and NLP to extract the information Please only apply if you have experien...
Create a reverse image search tool in python. 1. We want clients to upload their images to a central folder. 2. Folder then checks for any use of the image online. 3. Reports back to us with any results.
Machine learning: Data preparation Data cleansing, extract Numpy array from pandas, generate a new numpy array by giving a list columns or rows, separate outputs and inputs. Working with python, NumPy, pandas and excel
Need a Machine Learning expert in Clustering and Statistics to help us with our project on understanding app-specific user activity behavior. Looking for weekly consultation role. Share your work experience and relevant projects to help us understand if you would be a suitable candidate for this project. You can share your portfolio of projects, Github or Kaggle link. Send us here: [Removed by Freelancer.com Admin for offsiting - please see Section 13 of our Terms and Conditions] Only bid if you have a relevant profile for this role.
Cortical thickness challenge Must be done in python using numpy libraries. please go through the pdf.
In this project we need to find the which promotion to run for next year from a list of promotions. A R or google colab code needs to shared which showcase the procedure and output. see the for full details.
I have some machine learning questions to be solved in a tight deadline. I have some codes already done and just need to edit them to remove plagiarism and some questions need new work. I want part 1 q4 and q5 from scratch and part 2 i have all codes just need redoing.
The task is to perform data exploration using R
I have a list of 240 million websites I'd like to crawl and want to do that in the most cost-effective /quickest way. This would likely be accomplished with a web crawler that you would create to categorize the websites it crawls and sorts them into various categories while extracting key information such as. Business name, emails, phone numbers, addresses. I would also like to track the technologies the websites used for example Shopify. Here is how I would like websites to be processed 1. Determine if the website is in English 2. Determine the category of the website. 3. Determine if the website is for a business 5. Determine the category of business 6. If website is a business scrape the information using NLP (get as many pre-determined fields as possible) 7. Schedule to update ...
Using 2 different datasets provided by me you will have to visualize data given to you from these datasets . The goal of the project is to be able to compare individual authors (twitter users) & their following/followers/likes/common key words & phrases within tweets. The second part of the job is to see if there are matching authors across these datasets. If so, the goal is to then see if common key words & key phrases are utilized. Which hashtags are used and at what point in time. The goal is to visualize all of this data in one project. To summarize: These datasets all need to be used, the individual datasets have to be visualized in an understandable manner. Individual authors within each dataset have to be compared with each other. At the end of that we want to see ...
we would like the agent or individual to build or handover an AI &ML email sorting system where those could be segregated automatically to various subfolders within inbox by reading mail content. We receive more than 10000 email per day so we need to keep provision to store in some data base for couple of week . So that searching / replying sorting all should be smotth when they integrate in our email system. Integration will be based on simple user id and password and all his mail will be in our inbox and subfolder . Looking to acquiring working prototypes as well. If you develop from scratch then payment will be made only after delivery and testing with desired result .
Looking for someone, who is passionate about training the machine learning models and can also help with the documentation
Hello I am looking to learn data science. You will get on call with me and answer questions and build models, 2 to 4 hours per week. You will get paid hourly in advance for the calls.
Hello, I want to make a model for electricity retail price performance till 2035. can you please me your offer.
I'm currently using a machine learning model called YOLOP to do some robotics-related tasks. This model detects objects, segments drivable areas and detects roadside lines. For my task, I only need to retrain YOLOP for object detection and drivable area segmentation on the dataset I have already collected. I will provide unlabeled datasets for learning that only contain a cycling path class that the model doesn't segment. moreover, I want to reduce the detection classes of YOLOP to 2. please have a look on the link below for YOLOP before contacting.
can you help me with deep learning project? Wanna to detect vehicle using background subtraction model with maskrcnn file contain project requirement details... We need to use MS coco dataset It must contain 3 vehicle classes car truck and bus We need to train model and classified these three classes
This project must build as a separate software or plugin for any existing IDEs. This project should be able to detect the source code vulnerabilities at the coding level. Project should be developed using machine learning techniques. I have a proposed methodology in the attached files, or feel free to come up with better solutions we will discuss and conclude the methodology. Project has two main phases. 1. Vulnerable code segment detection and 2. Correct the detected vulnerable code segments / suggest the corrected code. 1. Vulnerable code segment detection These vulnerable code segments should be related to the information security. For example, code segments which helps to make Cross site scripting attacks, Buffer overflows, SQL Injection etc. I have found an existing data set from thi...
Looking for a sailpoint expert for coding work. This is a long term work which is kind of a part-time. Pay is monthly and negotiable. (Please don't bid if you don't have experience with it, it's not gonna work.)
We need to create a web app to do trading automatically in F&O Means if a sudden movement is detected in F&O price we need to buy Call or Put in desired price strike and need to sell a desired price level with trailing stop lose
Apply kernal PCA, fisher linear, Laplacian to sort image (machine learning) Other feature extraction techniques are welcome Need to arrange free call first Python is acceptable but need to be discussed first
Hello everyone! The language you will use: Python only We need to extract the skills from the attached excel file. I mean that in the excel file there is the job and its link. I want to extract from each job the skills required in each job. Then we want to convert these skills into graphs. I mean, we want to know the number of times each skill was mentioned and the most important thing is that these graphs You will create through the code It will also be generated in excel through the code automatically. because we will ask for the generated code. We also want to predict these skills in the future for a period of one year / two years and of course, the most demanded skills in the future are converted into graphs, as we mentioned previously and these graphs are certainly created in the ...
An algorithm was created to detect Brain Metastasis in mRI images. I have attached a powerpoint to better describe the current research project and challenges . Last year accuracy of detection was 85% now accuracy dropped to 50%. Need an expert in AI/ML, data science and medical image expert ( MS or PhD in data science) to look at the algorithm to optimize it and solve few other issues . Must have prior work experience with AI/ML, MRI images, need familiarity with DICOM meta data, DICOM viewer
There's a kaggle dataset for 50+ sensors. Using this data, have to generate a ML model to predict the anomalies or outliers. Python is the preferred language. I'm attaching the kaggle dataset link:
Use pytorch to build a neural network and implement the alternative minimization algorithm. Apply it on a dataset- train and test