You will get a scalable Data Science, Machine Learning, or AI solution in Python


Project details
I will work collaboratively with the project sponsor to evaluate and develop your ideas or problems and discuss the potential solutions using data science and machine learning models. This will include:
1) The code for the model
2) Training & Testing results of the different models
3) Documentation & Implementation steps
4) Support to deploy the model on any Cloud Platform or Self Hosting Service of Choice
1) The code for the model
2) Training & Testing results of the different models
3) Documentation & Implementation steps
4) Support to deploy the model on any Cloud Platform or Self Hosting Service of Choice
What's included $7,000
These options are included with the project scope.
$7,000
- Delivery Time 30 days
- Number of Revisions Unlimited
- Number of Model Variations 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Tony
Visualization/Data Expert - Data Scientist - Data Engineer
Victoria, Malta - 11:08 pm local time
Develop and maintain machine learning models. Orchestrate pipelines for multiple machine learning projects including but not limited to player lifecycle management, machine anomaly detections and Segmentation.
Research and define data metrics related to business problems.
I'm also an expert in Data Engineering and i can assist in the Design and implementation of data pipelines through which structured and semi-structured data gets ingested.
Tech stack:
Research Framework: Jupyter
Streaming Frameworks: Faust | Kafka | Spark
ETL Frameworks: Airflow | Prefect | Airbyte | Fivetran
API Frameworks: Fast API
Databases: SQL-Server | Clickhouse | Snowflake | MYSQL | PostgreSQL
Devops: Docker | Kubernetes
Visualization Tools: Streamlit | Redash | Qliksense | Metaabse
Steps for completing your project
After purchasing the project, send requirements so Tony can start the project.
Delivery time starts when Tony receives requirements from you.
Tony works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discussion
Discuss the project requirements and data availability.
Data Import
Importing the data into a Notebook to identify patterns and trends
