You will get fine-tuned Spacy / Hugging Face BERT transformers for NER
Project details
You will get a fine-tuned NER model that works nicely on extracting entities from your custom dataset and meets your business needs.
With more than 3 years experience working in end-to-end AI/ML/NLP projects and a Msc degree in AI/ML from LJMU, I am just entering in to freelancing and eager to meet customer requirements and satisfaction. I thrive to understand clearly the requirements, discuss and deliver the best solution for your requirements. And at a lesser cost !
With more than 3 years experience working in end-to-end AI/ML/NLP projects and a Msc degree in AI/ML from LJMU, I am just entering in to freelancing and eager to meet customer requirements and satisfaction. I thrive to understand clearly the requirements, discuss and deliver the best solution for your requirements. And at a lesser cost !
Machine Learning Tools
Amazon SageMaker, BERT, Python, PyTorchWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 4 days
- Number of Revisions 5
- Number of Model Variations 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Rajaram
Data Scientist-Python, ML, DL, NLP, GenAI LLMs, Chatbots, AWS
Bengaluru, India - 12:33 pm local time
- More than 4 years of experience as a Data Scientist in leading MNCs.
- MSc in AI & ML from Liverpool John Moores University.
- Classic AI/ML supervised and unsupervised algorithms, Deep Learning, NLP, GenAI
- MLOps - Deployment of models on AWS cloud using Amazon Sagemaker, App Runner, etc.
Machine/Deep Learning- Linear
Regression, Logistic Regression, Decision
Trees, Random Forests, XGBoost, Clustering
(K-Means, GMM etc.), Anomalies detection,
Boosting, SVM, Deep Learning / Neural
Networks, Reinforcement Learning, Time
Series Forecasting (AR / MA / ARMA / ARIMA
/ RNN).
Data Skills- Data understanding, Cleaning,
Imputing, Exploratory Data Analysis,
Visualization etc
Statistics & Maths - Probability Concepts,
Bayes theorem, Sampling Distributions,
Hypothesis testing, Linear Algebra concepts
for DS, Matrix/Series computations etc.
Data Science Tools and Libraries– Sklearn,
Pandas, Numpy, Matplotlib, Seaborn,
Tensorflow / Keras, Scapy etc.
Big Data Ecosystem- Familiarity in Spark,
Pyspark, Databricks and Kafka.
Steps for completing your project
After purchasing the project, send requirements so Rajaram can start the project.
Delivery time starts when Rajaram receives requirements from you.
Rajaram works on your project following the steps below.
Revisions may occur after the delivery date.
Discuss, understand and receive requirements
I will first discuss and understand the requirements
Data collection
Collect the customer data, analyse and process the data