Data analytics example (showcase)
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Post a project like this$500
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PPH Cert 5 Freelancer : Windows, Mobile (IOS, Android) and web development services.
Bay Minette
Data Modeling in Excel & Power BI With Power Pivot, Power Query, DAX and Google Data Studio Expert.
Dhaka
103693214247021448801146940715690161946714196240520935332149839152129
Description
Experience Level: Intermediate
Hello
we need a fully working demonstration example in the field of big data and data analytics, implemented in MATLAB or PYTHON (in Jupyter Notebook).
There is no restriction to the dataset used in this demonstration example, but it should be a real-life dataset (preferably from Kaggle or similar sites) and it should provide some business challenges that will be solved using some data processing and classification methods. Toy datasets, such as Iris dataset, etc. should be avoided. Showcases with customer-related data or data from automobile industry will be preferred.
This demonstration example should have specific targets, such as customer prediction, market analysis, sales predictions, etc. It should NOT include text analytics or sentiment analysis.
Methods and tasks that should be demonstrated through processing the dataset are:
- Data understanding (with plots/visualizations where possible)
- Data pre-processing, data cleansing, etc. (with plots/visualizations where possible)
- Data preparation for clustering/classification and machine learning (with plots/visualizations where possible)
- Data clustering and classification for better understanding the dataset or extracting some useful reasults
- (Simple) feature engineering for Machine Learning, Random Forests, or similar methods (with plots/visualizations where possible)
- Value predictions using Machine Learning, Random Forests, or similar methods (no model-tuning required) (with plots/visualizations where possible)
The applied methods are not pre-defined, so you can select by yourself. However, we will prefer showcases with sophisticated methods and good reasoning. Emphasis should be given in classification and prediction methods.
The accuracy of the above-mentioned results is not so important in this case. However, the results should be verified for demonstration purposes (e.g. using error measures such as RMSLE, precision/recall, etc.).
The candidate with the best showcase will be highly considered for our big data project, which will start in a short time.
Payment will be done after evaluating the showcase.
Thank you.
we need a fully working demonstration example in the field of big data and data analytics, implemented in MATLAB or PYTHON (in Jupyter Notebook).
There is no restriction to the dataset used in this demonstration example, but it should be a real-life dataset (preferably from Kaggle or similar sites) and it should provide some business challenges that will be solved using some data processing and classification methods. Toy datasets, such as Iris dataset, etc. should be avoided. Showcases with customer-related data or data from automobile industry will be preferred.
This demonstration example should have specific targets, such as customer prediction, market analysis, sales predictions, etc. It should NOT include text analytics or sentiment analysis.
Methods and tasks that should be demonstrated through processing the dataset are:
- Data understanding (with plots/visualizations where possible)
- Data pre-processing, data cleansing, etc. (with plots/visualizations where possible)
- Data preparation for clustering/classification and machine learning (with plots/visualizations where possible)
- Data clustering and classification for better understanding the dataset or extracting some useful reasults
- (Simple) feature engineering for Machine Learning, Random Forests, or similar methods (with plots/visualizations where possible)
- Value predictions using Machine Learning, Random Forests, or similar methods (no model-tuning required) (with plots/visualizations where possible)
The applied methods are not pre-defined, so you can select by yourself. However, we will prefer showcases with sophisticated methods and good reasoning. Emphasis should be given in classification and prediction methods.
The accuracy of the above-mentioned results is not so important in this case. However, the results should be verified for demonstration purposes (e.g. using error measures such as RMSLE, precision/recall, etc.).
The candidate with the best showcase will be highly considered for our big data project, which will start in a short time.
Payment will be done after evaluating the showcase.
Thank you.
Samuel A.
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