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Fiverr Pro
English
$
USD
I will do advanced machine learning python tasks and projects
Transforming data into intelligence with AI, machine learning
I am Syed Muhammad Awais Raza, an AI student at COMSATS University Islamabad, passionate about data science, ML, and AI-driven solutions.
Python Development – Data analysis, automation, and AI applic...
About this Gig
MACHINE LEARNING|MACHINE LEARNING TASKS|PYTHON|DATA SCIENCE
Welcome to my Fiverr gig, I will do advanced machine learning tasks in Python tasks and also complete its functions with complete satisfaction
Services Provided:
- Machine Learning Models
- Data Visualizations
- Regression
- Data Science Projects
- Computer Vision (OpenCV) Projects
- Data Analysis
- Enhance Code Performance
- Prediction Problems
- Problem Solving
- Clustering
- Recommendation Systems
Why Choose Me?
- Strong AI/ML Background
- Hands-on Experience with Real-world Machine Learning Projects
- Optimized Code with Detailed Documentation
- Timely Delivery & 100% Customer Satisfaction
Feel free to contact me to discuss your project in detail before placing an order. Let's turn your data into actionable insights!
Let's create something amazing!
Programming language:
Python
•
SQL
•
Java
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
My Portfolio
Other Data Science & ML Services I Offer
FAQ
How can data science help businesses?
Data science can help businesses by providing insights and recommendations based on data analysis. This can help businesses make informed decisions, optimize processes, and identify new opportunities for growth.
What programming languages are commonly used in data science?
Python and R are two popular programming languages used in data science. Python is often preferred for its simplicity and versatility, while R is commonly used in statistical analysis and modeling.
What kind of data can be analyzed in a data science gig?
Data science can analyze any kind of data, such as numerical, categorical, text, or image data. The data can come from various sources such as surveys, databases, web scraping, or social media.
