You will get a machine learning model that extract entities from CVs (resumes)
Project details
✔ I will create for you your own model for Named Entity Recognation and ML using SpaCy.
I will be your one stop solution to any model training related to, Natural language processing as well as Mathematical help in python.
Why me and why this project ?
I am an Artificial intelligence Masters student with a specialization in Data Mining, Machine learning and Deep learning model training.
Primary Tools : Python 3 standard library, Anaconda Spyder, SpaCy, matplotlib, pandas... etc
I will solve and mentor you in following task :
→ Converting PDFs to TXT Resumes
→ Clean and preprocess data (Text JSON processing)
→ Train models using SpaCy
→ Evaluate models using SpaCy (Accuracy,Precision,Recall,F-score)
→ Annotate data for ML model
Please feel free to contact before you order. it's important to training
I will be your one stop solution to any model training related to, Natural language processing as well as Mathematical help in python.
Why me and why this project ?
I am an Artificial intelligence Masters student with a specialization in Data Mining, Machine learning and Deep learning model training.
Primary Tools : Python 3 standard library, Anaconda Spyder, SpaCy, matplotlib, pandas... etc
I will solve and mentor you in following task :
→ Converting PDFs to TXT Resumes
→ Clean and preprocess data (Text JSON processing)
→ Train models using SpaCy
→ Evaluate models using SpaCy (Accuracy,Precision,Recall,F-score)
→ Annotate data for ML model
Please feel free to contact before you order. it's important to training
What's included $70
These options are included with the project scope.
$70
- Delivery Time 2 days
- Number of Revisions 2
- Number of Graphs/Charts 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Abdelhakim
Master in Business Intelligence & Big Data Analytics
Rabat, Morocco - 10:44 pm local time
- Computer Vision using openCV & HaarCascade Classifier
- Scikit-Learn (Regression - Classification)
- NLP (Natural Language Processing)
- Machine Learning (Create and training models)
- Evaluating ML models (Accuracy-Recall-Precision-F1Score)
- Named Entity Recognition using SpaCy
- Sentimental Analysis using PYTHON
- Indexing Data with SOLR
- Data Annotation for ML models, and more...
✔IT SKILLS:
- Postfix - Dovecot (Serveur de Messagerie)
- Supervision avec ZABBIX
- Nagios FAN
- LDAP sous Linux
- Administration d'Active Directory
- PfSense Firewall
- Server vsFTPd
- OpenVPN
- SQUID Web Filtering
- SAMBA - Serveur de partage
- MITM avec KALI LINUX
- Footprinting and Reconnaissance, and more...
Steps for completing your project
After purchasing the project, send requirements so Abdelhakim can start the project.
Delivery time starts when Abdelhakim receives requirements from you.
Abdelhakim works on your project following the steps below.
Revisions may occur after the delivery date.
Train model with data (Resumes)
I'll train the model with accurate data. (Real CVs)
Testing model
I'll test the model on another CVs to see the accuracy of the model.