You will get data science & advanced analytics service to better understand your dataset
Project details
Machine learning projects mainly fail due to poor-quality data. That's why having a good "data understanding" is a crucial step before performing cleaning and modelling on data. To do so, exploratory data analysis (EDA) is conducted to deep dive into data, discover patterns, and identify data quality problems. What you will receive is a report documenting the steps and results obtained. As a Certified Machine Learning Engineer, I care deeply about supporting individuals, businesses and governments, to explore, investigate, and learn what their datasets hold.
What's included $100
These options are included with the project scope.
$100
- Delivery Time 2 days
- Number of Revisions 0
- Number of Graphs/Charts 8
Frequently asked questions
About Rafka
AI Mentor | Startup Mentor | Data Analyst | ML Engineer | Entrepreneur
Beirut, Lebanon - 8:37 am local time
Steps for completing your project
After purchasing the project, send requirements so Rafka can start the project.
Delivery time starts when Rafka receives requirements from you.
Rafka works on your project following the steps below.
Revisions may occur after the delivery date.
Collect the data.
NOTE: Dataset should be in a tabular format (e.g.: Excel, CSV, etc.).
Perform EDA.
Diagnose data and explore patterns before cleaning and modelling.