You will get "Building and Evaluating Machine Learning Models with Python"


Project details
This project focuses on providing clients with a hands-on, practical approach to learning machine learning using Python. Unlike traditional training programs, I emphasize real-world applications and problem-solving, ensuring that clients can immediately apply what they learn to their specific business needs. The program covers key aspects of machine learning, including data preprocessing, feature selection, model building, and deployment. What sets this project apart is its tailored approach—every session is customized to align with the client's industry, challenges, and goals. Clients not only gain foundational knowledge but also the skills to create impactful AI solutions that drive efficiency and innovation. By focusing on actionable results and equipping clients with tools for ongoing learning, this project ensures lasting value and empowers clients to stay ahead in the rapidly evolving world of AI and machine learning.
Machine Learning Tools
ChatGPT, GitHub Copilot, NumPy, OpenCV, pandas, Python, scikit-learn, SciPy, TensorFlowWhat's included $350
These options are included with the project scope.
$350
- Delivery Time 7 days
- Number of Revisions 1
- Number of Model Variations 3
- Number of Scenarios 2
- Number of Graphs/Charts 6
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Model Variation
(+ 1 Day)
+$50
Additional Scenario
(+ 1 Day)
+$50
Additional Graph/Chart
(+ 1 Day)
+$50About Zemelak
Data Science & Analytics with AI
Silver Spring, United States - 7:51 am local time
Data Scientist with a PhD in Life Sciences and an MSc in Data Science, offering 10+ years of experience in agricultural research and data
methods. Developed solutions that improved farmer decision- making by 30% and increased crop yields by 20%. Applied quantitative analysis,
statistical modeling, and AI to optimize resource allocation, boosting production efficiency by 15%. Published research on data- driven
agricultural practices and led data projects that drove operational growth and performance.
Steps for completing your project
After purchasing the project, send requirements so Zemelak can start the project.
Delivery time starts when Zemelak receives requirements from you.
Zemelak works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Machine learning Models, Python, & ChatGpt for analytics
Problem analysis of a given case scenario