You will get a fine-tuned machine learning model for predicting anything you need

You will get a fine-tuned machine learning model for predicting anything you need

Project details
You will get a ready-to-go model for predicting values or classifying objects given some data, it will be prepared for futher deployment into production and obtaining predictions
What's included $50
These options are included with the project scope.
$50
- Delivery Time 7 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Graphs/Charts 4
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$20
Additional Model Variation
(+ 2 Days)
+$15
Additional Graph/Chart
(+ 1 Day)
+$10About Gleb
AI & Machine Learning | Data Analysis, Information Analysis, ETL, Git
Kivertsi, Ukraine - 8:13 pm local time
Testing statistical hypothesis, design, set up and analysis of AB tests and other statistical experiments, calculation of effect size, power and p-values. Using data to make statistical inference, building predictive models using scikit-learn and/or xgboost, time series analysis and prediction using tensorflow.
Intermediate SQL for ETL purposes: aggregations, window functions, subqueries, CTE. Basic knowledge of R, usage of main statistical packages for data analysis
Excel (pivot tables and basic VBA) & dash / Tableau for creating visualisations, charts and plots. Creating analytical stories and dashboards either with python or with Tableau.
Business analytics, cohort analysis. User segmentation (also with machine learning methods)
Git for version control
Steps for completing your project
After purchasing the project, send requirements so Gleb can start the project.
Delivery time starts when Gleb receives requirements from you.
Gleb works on your project following the steps below.
Revisions may occur after the delivery date.
Data
Receive data from client
Cleaning
Check data for outliers/nonsense data and then remove all these obstacles