You will get predictive data analysis using python and ML

Daniel M.Status: Offline
Daniel M.

Let a pro handle the details

Buy Machine Learning services from Daniel, priced and ready to go.
Daniel M.Status: Offline
Daniel M.

Let a pro handle the details

Buy Machine Learning services from Daniel, priced and ready to go.

Project details

I will perform data analysis with python and its fast, powerful, free, and open source libraries such as numpy, pandas, matplotlib, seaborn, scikit-learn.

With this gig you can expect basic data preprocessing, such as data inspection, cleaning visualization which encompasses:

Missing values
Duplicates
Standardization and normalization
Encoding
Detecting and removing outliers
And other data transformations, if needed

Apart from this basic data preparation, you can also pick a second option for summarization and visualization, which is ideal for business insights, reporting or sales analysis. This type of data analysis is done with:

Groupby and aggregation
Pivot tables
And crosstabulation

If you need predictive modeling, then chose this as third option. This type of advanced data analysis is done by using statistical methods or ML algorithms, for regression, and its most popular and powerful Methods/algorithms are:

Linear regression
Regularization
Svm's
Random forest
And other tree based models

Please contact me before placing an order.
Machine Learning Tools
NumPy, pandas, Python, scikit-learn, XGBoost
What's included
Service Tiers Starter
$20
Standard
$40
Advanced
$60
Delivery Time 1 day 1 day 1 day
Number of Revisions
111
Model Validation/Testing
-
-
Model Documentation
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-
Data Source Connectivity
-
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Source Code
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Daniel M.Status: Offline

About Daniel

Daniel M.Status: Offline
Data Scientist | Python
Novi Sad, Serbia - 3:32 am local time
Versatile data practitioner, with experience in end-to-end data science pipeline using contemporary and powerful Python tools for quick and efficient data science tasks.

Example of data science pipeline might follow these steps: importing of data> inspection > cleaning > exploration > visualization > feature design > modeling > validation > optimization> prediction > final evaluation.

Working on clients projects, allowed me to gain experience in these fields of data science and machine learning:

Time series analysis and forecasting
Price optimization/prediction
Classification and regression
Feature selection/dimensionality reduction

If you have any questions, please feel free to contact me.......

Steps for completing your project

After purchasing the project, send requirements so Daniel can start the project.

Delivery time starts when Daniel receives requirements from you.

Daniel works on your project following the steps below.

Revisions may occur after the delivery date.

Review and analyze

Review the work, release payment, and leave feedback to Daniel.