I will build and evaluate machine learning models using python
About this Gig
I provide practical machine learning solutions tailored to your dataset and requirements.
Services:
Data cleaning & preprocessing
Exploratory Data Analysis (EDA)
Feature engineering & scaling
Classification & regression
Clustering
Model training & evaluation
Hyperparameter tuning
Data visualization
Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn & Jupyter Notebook.
Youll receive:
Clean Python code
Trained ML model
Performance evaluation
Visualizations & insights
Source code
- Please contact me before ordering to discuss your project requirements.
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
MLflow
My Portfolio
FAQ
What do I need to provide to get started?
lease provide your dataset (CSV, Excel, or SQL format) along with a brief description of your project goals or the specific outcomes/predictions you expect.
Which tools and technologies do you use?
I primarily use Python in Jupyter Notebooks or Google Colab, utilizing libraries such as Pandas, NumPy, Scikit-Learn, XGBoost, and TensorFlow.
Will I receive the source code?
Yes, all packages include the complete, annotated Python source code (.ipynb notebook or .py files).

