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I will develop the ml models
Hi, I am Devanshu verma, I bring 3 years of
experience in data entry, data extraction and analytical services using excel and using python . I specialise in -
Accurate and efficient data entry
Dat...
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Are you looking for a reliable Data Scientist to transform your raw data into meaningful insights and predictive models? You're in the right place.
I offer complete Data Science and Machine Learning services, from cleaning and preparing your data to building and evaluating high-performing models tailored to your business or academic needs.
Whether you're working on a business problem, research project, startup idea, or personal project, I can help you develop accurate and efficient machine learning solutions.
Services I Offer:
- Data Cleaning and preperation
- Data Preprocessing
- EDA(Exploratory Data Analysis)
- Machine Learning Model development
- Model Evaluation, Model validation
- Deliverables(.ipynb file, Final Trained Model, Detail explanation of results)
Why Choose Me?
- Clean and well-structured code
- Timely delivery
- Clear communication throughout the project
- Customized solutions based on your requirements
- Support even after project completion
Lenguaje de programación:
Python
•
Colab
Marcos:
Scikit-learn
•
keras
•
PyTorch
•
Panda
Herramientas:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
Otros servicios de Ciencia de datos y aprendizaje automático que ofrezco
FAQ
What types of projects do you work on?
I work with Machine learning, Deep learning projects.
What do you need from me to get started?
Please Provide the dataset if possible, project requirements, desired outcomes, and any specific instructions or constraints related to the project.
How do you evaluate model performance?
I use appropriate evaluation metrics depending on the problem type. These may include Accuracy, Precision, Recall, F1-score, ROC-AUC, R² Score, RMSE, MAE, and cross-validation techniques.
Will I receive the source code?
Yes. You will receive well-documented source code, usually in the form of a Jupyter Notebook (.ipynb) or Python scripts, depending on your preference.
