Develop Machine Learning Models on R, Python
$595
Delivery in
5 days
Response time
within a day
- Views 670
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What you get with this Offer
I can develop any Machine Learning model or optimization engine that creates value for business.
Additionally, I provide analytics service related to:
• Statistical Analysis (correlations, linear regression, ANOVA, statistical inference)
• Data Mining (association rules, graph analysis, clustering)
• Data Visualization (matplotlib, ggplot, Power BI)
• Web Crawling (parsing HTML and XML documents)
Technological Toolkit: Python, R, Matlab, SQL, Power BI
Projects Portfolio:
Image Processing
• Image deblurring with Singular Value Decomposition (SVD).
• Spectral un-mixing of hyperspectral images via regression and classification methods.
• Satellite image recognition with Convolutional Neural Networks (CNN).
Finance
• Real estate price prediction with regression.
• Budgeting rationalization with multivariable regression.
• Financial assets’ returns forecasting with time series.
• Optimal assets portfolio construction with linear programming.
• Credit card fraud detection with clustering.
Marketing
• Customer propensity modelling with classification.
• Customers segmentation with clustering.
• Market basket analysis with association rules.
Logistics
• Continuous demand forecasting with Time Series or Neural Networks (RNN, LSTM).
• Intermittent demand forecasting with Croston Methods.
• Inventory level optimization with EOQ modelling.
• Logistics network optimization with clustering.
Engineering
• Time-to-failure estimation for machinery with regression.
• Failure prediction at component level with classification.
• Early fault detection with unsupervised techniques (anomaly detection, SVD, autoencoding).
Additionally, I provide analytics service related to:
• Statistical Analysis (correlations, linear regression, ANOVA, statistical inference)
• Data Mining (association rules, graph analysis, clustering)
• Data Visualization (matplotlib, ggplot, Power BI)
• Web Crawling (parsing HTML and XML documents)
Technological Toolkit: Python, R, Matlab, SQL, Power BI
Projects Portfolio:
Image Processing
• Image deblurring with Singular Value Decomposition (SVD).
• Spectral un-mixing of hyperspectral images via regression and classification methods.
• Satellite image recognition with Convolutional Neural Networks (CNN).
Finance
• Real estate price prediction with regression.
• Budgeting rationalization with multivariable regression.
• Financial assets’ returns forecasting with time series.
• Optimal assets portfolio construction with linear programming.
• Credit card fraud detection with clustering.
Marketing
• Customer propensity modelling with classification.
• Customers segmentation with clustering.
• Market basket analysis with association rules.
Logistics
• Continuous demand forecasting with Time Series or Neural Networks (RNN, LSTM).
• Intermittent demand forecasting with Croston Methods.
• Inventory level optimization with EOQ modelling.
• Logistics network optimization with clustering.
Engineering
• Time-to-failure estimation for machinery with regression.
• Failure prediction at component level with classification.
• Early fault detection with unsupervised techniques (anomaly detection, SVD, autoencoding).
What the Freelancer needs to start the work
To get started, I will need problem description and structured data in a readable format.
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