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I will build machine learning models for classification regression and clustering
The satisfaction of my clients is my top priority
🚀 Mustak Sk | 🤖 Machine Learning Developer | 🐍 Python & Data Science | 💻 Web Development | 📈 Quantitative Trading & Financial Mathematics | 📊 Aspiring Quantitative Researcher | 🎥 YouTuber @ Say...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Looking for a Python Machine Learning solution? I can help you analyse data, build predictive models, and discover meaningful patterns.
MY SERVICES
Supervised Learning
- Linear & Logistic Regression
- Decision Trees
- Random Forest
- KNN
- Classification & Regression
Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- DBSCAN
- PCA
Data Analysis
- Exploratory Data Analysis (EDA)
- Data Cleaning & Preprocessing
- Feature Engineering
- Data Visualization
- Statistical Analysis
MODEL EVALUATION
- Model Training & Testing
- Cross-Validation
- Performance Metrics
- Model Comparison
TOOLS & TECHNOLOGIES
Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebook.
WHAT YOU GET
- Clean Python code
- Jupyter Notebook
- Model evaluation
- Visualizations
- Basic documentation
I focus on clean code, reliable results, and practical machine learning solutions.
IMPORTANT: Please contact me before ordering to discuss your dataset, requirements, and project scope.
Let's build something useful with Machine Learning!
Programming language:
Python
•
SQL
•
NoSQL
Frameworks:
Scikit-learn
•
Keras
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
My Portfolio
FAQ
Q1. Which machine learning algorithms do you work with?
I work with Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, K-Means, DBSCAN, and more.
Q2. Can you work with my own dataset?
Yes! I can work with CSV, Excel, and other supported datasets.
Q3. Do you provide Python source code?
Yes, I provide Python source code and a Jupyter Notebook.
Q4. Do you perform data cleaning and preprocessing?
Yes, I can handle missing values, data cleaning, preprocessing, and feature scaling.
Q5. Do you provide model evaluation?
Yes, I provide appropriate performance metrics such as Accuracy, Precision, Recall, F1-score, MAE, RMSE, and R-squared.
Q6. Can you help with classification, regression, and clustering?
Yes, I work on supervised and unsupervised machine learning tasks.
Q7. Should I contact you before placing an order?
Yes! Please contact me first to discuss your dataset, requirements, and project complexity.
