You will get Transformative NLP modeling tailored to your needs.
You will get Transformative NLP modeling tailored to your needs.
Project details
You will get cutting-edge NLP solutions tailored to your needs. With tools like PySpark and Hugging Face Transformers, we deliver accurate text analysis. Our personalized approach ensures precise results, whether it's named entity recognition or text classification. Let's unlock the potential of your data together!
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Keras, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | |
Source Code | - | ||
Taxonomy | - | - |
About Alfred
Data Scientist
Nairobi, Kenya - 9:33 am local time
SKILLS
Programming Languages: Python
Tools: GitHub, Power BI (Data Visualization),Excel
NLP Libraries and Tools: NLTK, Spark NLP, spaCy
Machine Learning: Scikit-learn, TensorFlow, Keras, Pytorch
Predictive Modeling: Regression, Classification, Clustering
Areas of Interest: Business Intelligence, Artificial Intelligence
Additional Expertise: Natural Language Processing (NLP), Machine Learning, Large Language Models
Soft Skills: Adaptability, Attention to Detail, Analytical Thinking, Problem Solving, Teamwork, Leadership
Steps for completing your project
After purchasing the project, send requirements so Alfred can start the project.
Delivery time starts when Alfred receives requirements from you.
Alfred works on your project following the steps below.
Revisions may occur after the delivery date.
Project Consultation & Requirements Gathering
Requirement Description: Define project objectives, scope, & client expectations through consultation. Schedule a meeting to discuss project goals, scope, & gather requirements.
Data Collection & Preprocessing
Acquire data from various sources, clean and preprocess it to ensure quality and consistency for analysis.