You will get biomedical named entity recognition in python and machine learning
Project details
You will receive a comprehensive Biomedical Named Entity Recognition (NER) service tailored to their specific needs. This service includes:
Accurate Identification: The project will accurately identify and classify drugs, diseases, and other biomedical entities mentioned in their documents.
Advanced Machine Learning Algorithms: Leveraging cutting-edge machine learning algorithms, the project will ensure precise recognition of entities, enhancing the overall accuracy of the process.
Natural Language Processing Expertise: With expertise in Natural Language Processing (NLP), the project will efficiently process and analyze biomedical text data, extracting relevant information with high precision.
Customized Solutions: The solutions provided will be customized to suit the client's requirements, ensuring that the NER process aligns with their specific objectives and preferences.
Improved Document Analysis: By automating the entity recognition process, the project will streamline document analysis, saving time and effort while maintaining a high level of accuracy.
Accurate Identification: The project will accurately identify and classify drugs, diseases, and other biomedical entities mentioned in their documents.
Advanced Machine Learning Algorithms: Leveraging cutting-edge machine learning algorithms, the project will ensure precise recognition of entities, enhancing the overall accuracy of the process.
Natural Language Processing Expertise: With expertise in Natural Language Processing (NLP), the project will efficiently process and analyze biomedical text data, extracting relevant information with high precision.
Customized Solutions: The solutions provided will be customized to suit the client's requirements, ensuring that the NER process aligns with their specific objectives and preferences.
Improved Document Analysis: By automating the entity recognition process, the project will streamline document analysis, saving time and effort while maintaining a high level of accuracy.
Machine Learning Tools
BERT, MATLAB, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, SAS, scikit-learn, SciPy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 5 days |
Number of Revisions | 2 | 2 | 5 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 1 | 1 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$300
Model Documentation
(+ 3 Days)
+$100About Asim
Data scientists
Slough, United Kingdom - 2:34 am local time
I provide Data Science / Machine Learning solutions to your problems.
Area of expertise:
Statistics
Deep learning
Programming Languages: Python, R.
Exploratory Data Analysis
Data Cleaning and Processing
Feature Engineering
Machine Learning Algorithms: Linear and Logistic Regression, KNN, Random Forest, K-means clustering, Naive Bayes, Support Vector Machine, Sentiment Analysis, etc.
Deep Learning Algorithm : Neural networks, Recurrent Neural networks(RNN) (LSTM ,bi-LSTM , CRF )
Model Validation and Testing
Hyper-parameter Tuning
Ensemble Learning
Natural Language Processing (NLP).
Clustering
OpenStack
Data Engineering Expertise:
SQL
Data Modelling
Data warehouse design
PowerBI
Tableau
Why should you seek the services of me?
Comments in code and documentation of code so you can easily understand the code of the project
Deliver work on time
The price of the project can be varied according to the complexity. It would be highly appreciated to contact me before placing an order directly.
Steps for completing your project
After purchasing the project, send requirements so Asim can start the project.
Delivery time starts when Asim receives requirements from you.
Asim works on your project following the steps below.
Revisions may occur after the delivery date.
Project generic pipeline
Gather the data. Annotate the data. Pre process the data. Model training and testing.