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English
$
USD
I will clean , analyze and visualize data using python and built ml models
Junior ML engineer
Hi! I'm Minahil Fatima, a passionate Python Developer, Machine Learning Engineer, and Web Developer dedicated to building reliable, efficient, and user-friendly solutions.
I specialize in Python pro...
About this Gig
Looking for accurate data analysis, meaningful visualizations, and reliable machine learning solutions? You're in the right place!
I will help you transform raw data into valuable insights using Python and industry-standard libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. Whether you need data cleaning, preprocessing, exploratory data analysis (EDA), predictive machine learning models, or professional visualizations, I will deliver clean, well-documented, and efficient solutions tailored to your project.
Services I Offer:
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization & Charts
- Machine Learning Models (Classification & Regression)
- Feature Engineering
- Model Training & Evaluation
- Performance Optimization
- Python Scripts for Data Processing
- Well-Documented Source Code
I have experience building projects such as Credit Card Fraud Detection, Heart Disease Prediction, Phishing Website Detection (PhishGuard), and Amazon Sales Analysis, applying practical machine learning techniques to solve real-world problems.
Programming language:
Python
•
Other
Frameworks:
Scikit-learn
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
Excel
•
Other
FAQ
What types of datasets do you work with?
I work with CSV, Excel, JSON, SQL, and other structured datasets. If you're unsure about your data format, feel free to message me before placing an order.
Which machine learning algorithms do you use?
Depending on your project, I use algorithms such as Logistic Regression, Decision Trees, Random Forest, Support Vector Machine (SVM), KNN, Naive Bayes, and other suitable models.
What do you need before starting the project?
Please provide your dataset, project requirements, expected output, and any specific instructions. If you don't have a dataset, contact me first and we can discuss possible solutions.
