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$
USD
I will build a prediction model to predict outcomes from your data
About me,
Hi, I'm Muhammad Usman, a Data Scientist, AI/ML Engineer, and Full Stack Web Developer with 3+ years of experience. I build ML models (regression, classification, clustering, anomaly detection), work ...
About this Gig
Hi,
I'm a Data Scientist and Junior Machine Learning Engineer with real-world experience in building predictive models for various domains.
I will create a model that predicts future outcomes using machine learning techniques.
The selection of the model (Random Forest, Logistic Regression, XGBoost, etc.) will depend on your dataset and the specific goal you want to achieve whether it's classification, regression, or forecasting.
One of my successful projects includes predicting student status (Dropout, Enrolled, Graduate) using 36 features like academic records, demographics, and financial data using Random Forest.
What Youll Get:
- Data preprocessing and cleaning
- Exploratory Data Analysis (EDA)
- Model selection based on your data
- Training & testing of ML models
- Performance evaluation (accuracy etc.)
- A clean, commented Jupyter Notebook or PDF report
If you have a project involving data science or machine learning tasks, I'm here to help you.
I gained valuable experience industry-level projects. I'm also very flexible and easy to work with, and I'm committed to delivering value and clear insights.
Message me before placing order so we can find the best solution for your data!
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
My Portfolio
FAQ
What kind of data do you need from me to start the project?
I’ll need your dataset in a format like CSV or Excel, along with a brief explanation of what each column means and the outcome you want to predict (e.g., student status, customer churn, etc.). The more context you provide, the better I can tailor the model to your needs.
Which machine learning algorithms do you use?
I choose the algorithm based on your dataset and objective. Some common models I use are Random Forest, Logistic Regression, Decision Trees, XGBoost, and others. If you have a preference or need a specific model, just let me know!
