Databricks Unsupervised Learning Model
Budget: ₹1,500 – ₹12,500 INR
I'm seeking a proficient data scientist to develop an unsupervised learning algorithm in Databricks. The primary aim of this project comprises three-fold: data classification, anomaly detection, and clustering.
The algorithm will majorly handle numerical data, so experience with this type of data is crucial. The project will involve working with a medium-sized dataset - between 1,000 and 10,000 samples.
Ideal Skills and Experience:
- Proficiency in unsupervised learning algorithms
- Extensive experience with numerical data
- Proficiency in Databricks
- Experience handling medium-size datasets.
Your primary responsibility will be creating an actionable, precise algorithm that can effectively classify the data, discern anomalies, and cluster data accordingly. Quick and efficient project delivery is preferred.
The algorithm will majorly handle numerical data, so experience with this type of data is crucial. The project will involve working with a medium-sized dataset - between 1,000 and 10,000 samples.
Ideal Skills and Experience:
- Proficiency in unsupervised learning algorithms
- Extensive experience with numerical data
- Proficiency in Databricks
- Experience handling medium-size datasets.
Your primary responsibility will be creating an actionable, precise algorithm that can effectively classify the data, discern anomalies, and cluster data accordingly. Quick and efficient project delivery is preferred.