You will get statistical Data Analysis, Data Visualization, AI & Machine learning Python
Project details
you will get advanced statistical analysis reports with more than 2000 words and Graphs with more than 10. In data analysis, I will perform the following analysis and tasks:
1) qualitative, quantitative, prescriptive & predictive analysis.
2) Time series Analysis.
3) Market Analysis.
4) Power bi, GGplots, d3.js, python & R plots.
5) Data mining.
6) AI & Machine Learning models.
1) qualitative, quantitative, prescriptive & predictive analysis.
2) Time series Analysis.
3) Market Analysis.
4) Power bi, GGplots, d3.js, python & R plots.
5) Data mining.
6) AI & Machine Learning models.
Machine Learning Tools
Apache Spark, Apache Spark MLlib, deeplearn.js, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, RapidMiner, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$15
|
Standard
$20
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 4 | 6 | 8 |
Number of Scenarios | 6 | 8 | 10 |
Number of Graphs/Charts | 12 | 16 | 19 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Abbass
Python | Machine Learning | data visualization & data analysis
Opole, Poland - 5:27 am local time
Responsibilities:
1:Understand and use computer science fundamentals, including data structures, data visualization, algorithms, computability and complexity, and computer architecture.
2:Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming.
3:use power bi, google data studio and python visualization graphs to understand and analyze data.
4:Produce project outcomes and isolate the issues that need to be resolved, in order to make programs more effective.
5:Build algorithms based on statistical modeling procedures and build and maintain scalable machine learning solutions in production.
6:Use data modeling and evaluation strategy to find patterns and predict unseen instances.
7:Apply machine learning algorithms and libraries.
8:Analyze large, complex datasets to extract insights and decide on the appropriate technique.
9:Research and implement best practices to improve the existing machine learning infrastructure.
Steps for completing your project
After purchasing the project, send requirements so Abbass can start the project.
Delivery time starts when Abbass receives requirements from you.
Abbass works on your project following the steps below.
Revisions may occur after the delivery date.
get the details
first, i will discuss project and get the details.