You will get data cleaned and analyzed for further processing or warehousing
Project details
This project conducts different stages of data cleaning, analysis and reporting. All times are in UTC + 1. Any extra revision takes one working day. We are available from Monday to Saturday at noon.
This project comes in three tiers:
1. Starter Tier: This is solely data cleaning. Here data is thoroughly cleaned to professional standards. It is
priced at $20 and has a delivery time of one working day.
2. Standard Tier: Here, data is cleaned and has some minor analysis run on it. Major patterns are found and
some basic visualisations are reported on the submitted data. It is priced at $50 and has a delivery time
of two working days.
3. Advanced Tier: Here, full-scale analysis is done on the data presented. Data visualisations, pattern
finding, intense data cleaning, and data warehousing are some of the packages that come with this tier. It
is priced at $100 and has a delivery time of 5 working days.
Add-ons include:
Data Sourcing -$10
Extra revision(other than the available) - $10
Data Sourcing - $10
This project comes in three tiers:
1. Starter Tier: This is solely data cleaning. Here data is thoroughly cleaned to professional standards. It is
priced at $20 and has a delivery time of one working day.
2. Standard Tier: Here, data is cleaned and has some minor analysis run on it. Major patterns are found and
some basic visualisations are reported on the submitted data. It is priced at $50 and has a delivery time
of two working days.
3. Advanced Tier: Here, full-scale analysis is done on the data presented. Data visualisations, pattern
finding, intense data cleaning, and data warehousing are some of the packages that come with this tier. It
is priced at $100 and has a delivery time of 5 working days.
Add-ons include:
Data Sourcing -$10
Extra revision(other than the available) - $10
Data Sourcing - $10
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 2 | 2 | 4 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $25
Additional Revision
+$10
Data Sourcing
+$5About Osayanhu
End-to-End Machine Learning: Constructing and Appraising Models
Port Harcourt, Nigeria - 10:51 am local time
Defining project objectives and problem scope
Collecting, cleaning, and preprocessing raw data
Exploratory data analysis to understand data characteristics
Feature engineering for data transformation and enrichment
2. Model Selection and Architecture:
Identifying suitable machine learning algorithms based on problem type
Choosing appropriate model architectures (e.g., decision trees, neural networks)
Hyperparameter tuning to optimize model performance
Evaluating trade-offs between model complexity and interpretability
3. Data Splitting and Training:
Dividing data into training, validation, and test sets
Implementing cross-validation techniques for robust model evaluation
Training models using relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch)
4. Feature Selection and Engineering:
Selecting relevant features based on domain knowledge and analysis
Creating new features to capture underlying patterns
Applying dimensionality reduction techniques (e.g., PCA, t-SNE) when needed
5. Model Training and Optimization:
Implementing algorithms to fit models to training data
Regularization techniques for preventing overfitting
Fine-tuning hyperparameters to achieve optimal model performance
6. Model Evaluation and Interpretability:
Performance metrics for classification, regression, and clustering tasks
Interpreting feature importance and model decisions
Visualizing model outputs and predictions for better understanding
7. Model Refinement and Iteration:
Analyzing model weaknesses and areas for improvement
Iteratively adjusting hyperparameters and features
Addressing bias, variance, and data quality issues
8. Deployment and Monitoring:
Preparing models for deployment in production environments
Implementing model monitoring to detect performance degradation
Ensuring model fairness, robustness, and security
9. Documentation and Communication:
Creating comprehensive documentation for the end-to-end process
Communicating findings and insights to both technical and non-technical stakeholders
Collaborating with teams to integrate models into business processes
10. Continuous Learning and Adaptation:
Staying updated with the latest advancements in machine learning
Adapting to changing project requirements and technological landscapes
Continuously refining skills through practical projects and professional development
Steps for completing your project
After purchasing the project, send requirements so Osayanhu can start the project.
Delivery time starts when Osayanhu receives requirements from you.
Osayanhu works on your project following the steps below.
Revisions may occur after the delivery date.
First Look
The data given is looked over to see if selectd tier will be sufficient or if higher tier will be needed.
Processing
The data is cleaned and analysed (based on tier). THis takes between 1 to 5 working days.