Match Preduction Website With Datamining And ML

I need a Machine Learning Engine to Optimize entry and and exit . I have programmed a custom indicator for the Ninatrader platform that will output different up to 16 variables (Characters) from a set of 6 possible outcomes. To simplify I have made them Characters, ABCXYZ.. In a series (look back period) of up to 10.. Example of one series of a look back of 10. There will be 8 of these. ZZZZYYXYXX. In essence I would like to…

Hi, I'm working in real estate and I want to keep track of new opportunities on certain websites. These websites are real estate sites or platforms. Now I do this all manually, with a clipper from Airtable, where my data is stored. I would like to automate the most I can. The first part would be to check the new opportunities en load all the data in Airtable. The second part would be that there is a check if the…

Hello, I am looking for what appears to be a complex script that utilize NLTK. I need a script that can scrape a txt file, and extract things like Characters, Locations, Length, Page, etc. but also predict what is a Prop or set dressing (thus the NLTK). Below is a small sample of the file format that will need to be scraped (I have plenty of examples). I need a script I can run myself and potential modify (I could…

Read details please! I need a Python Expert from Object Detection background. who can: - Run a GitHub repo into Colab - Train & Test the Repo - Collect results - Can update me on Zoom here is the repo link: https://github.com/yuchieh0710/CenterMask_KD

Hello guys, We currently have a database of around 25k leads from India consisting of contacts details, pincode & address. I'm searching for probable freelancer who wish to buy the leads or bring me client. These leads will be more suitable in education sector. Further details will be shared on chats. Happy bidding!!

Looking for data scientists particularly they good at NLP

Assembly programlama dili kisa proje

It will take you around 2 minutes to complete this task, quick instagram scrape

I want number of outlets per country for a total 29 eye-wear brands, below template to be filled. https://docs.google.com/spreadsheets/d/1zv2TsFSewDy0wxBXvfkCo-jN8XDzs7kZ/edit#gid=3122301 I need per brand and country the number of stores. Information should be scrapped from the web store finders. Budget - 600 Rupees

Design (deep) neural networks and use regularization and optimization techniques to improve optimization and generalization performance on a dataset.

Script for fetching the data I want a script that will scrape data from a directory website, Data to be fetched are: Name of company Phone number Email Address (You may find it from their respective websites ) from this website: https://www.enfsolar.com/directory/installer Making a Python script will scrape the data from it. What do I want? => All the data of solar Installers in CSV format => A python script that will scrape

I want verified emails (5 million) of women (ages between 30-50) from all the states of USA. A very long term project for a right person. If someone knows how to do this, please ping me back. "Price will be as per state of the list" Thanks.

you give me a Email Text Summarization project that will have mongoDB and Spacy. The data will be in mongodb and we call the data in spacy, make analytics on the data and the results are sent to mongodb again. Here is datasets https://www.cs.cmu.edu/~enron/ https://www.kaggle.com/wcukierski/enron-email-dataset

Proposals are welcome. Preferably in the direction of e-commerce but not a compulsion. The report has to be non-plagiarized with proper dissertations and references wherever necessary. Preferred programming language: Python or R Preferred tool: Orange or Tableau

Collate 550 addresses around Europe Addresses must be from Commercial/private Boat Operators/Owners Address must include Contact name Company Address Country Website address Company email Direct email contact Telefone Mobile/whatsapp Ocean/Inland water Type of boats Average size of boat in meters The way to do this is either find existing sheets or database online with this information and scrape it, or to first identify a port or marina and see on google all the operators around that area, then collate the…