I will develop nlp applications using python and machine learning
Machine Learning Engineer with 2 years of hands on experience
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Need a Machine Learning model for text classification? You're in the right place!
I will build a high-quality Python machine learning model for NLP and text classification using Scikit-learn, Pandas, NumPy, and industry-standard techniques. Whether you need spam detection, sentiment analysis, hate speech detection, intent classification, topic categorization, or custom text classification, I can help.
What I offer:
- Data cleaning & preprocessing
- Text normalization & feature engineering
- TF-IDF / Count Vectorizer
- Machine Learning model development
- Model training & evaluation
- Hyperparameter tuning
- Performance metrics (Accuracy, Precision, Recall, F1-Score)
- Source code with documentation
- Deployment guidance (optional)
I write clean, well-documented code and deliver reliable, production-ready solutions. If you have a custom dataset or project idea, feel free to contact me before placing an order.
Lenguaje de programación:
Python
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R
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SQL
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Java
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Otros
Marcos:
Scikit-learn
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Panda
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Otros
Herramientas:
Jupyter Notebook
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opencv
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Excel
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Colab
Mi porfolio
Otros servicios de Ciencia de datos y aprendizaje automático que ofrezco
FAQ
What types of text classification projects do you build?
I build machine learning models for sentiment analysis, spam detection, hate speech detection, intent classification, topic classification, fake news detection, and other custom NLP tasks.
Which programming language and libraries do you use?
I use Python with Scikit-learn, Pandas, NumPy, NLTK, Matplotlib, and other relevant libraries depending on your project requirements.
Can you work with my own dataset?
Yes. You can provide your dataset in CSV, Excel, JSON, or text format, and I'll preprocess it, train the model, and evaluate its performance.
Which machine learning algorithms do you support?
I work with Logistic Regression, Naive Bayes, Support Vector Machine (SVM), Random Forest, Decision Tree, KNN, and other suitable algorithms.
Will I receive the complete source code?
Yes. All packages include clean, well-documented source code so you can understand, modify, and use the project easily.
Do you perform data preprocessing?
Yes. I clean the dataset, remove duplicates and missing values, normalize text, remove stopwords, tokenize text, and perform feature extraction using techniques like TF-IDF or Count Vectorizer.
Do you evaluate model performance?
Yes. I provide evaluation metrics such as Accuracy, Precision, Recall, F1-Score, Confusion Matrix, and classification reports.
Can you improve or fix an existing machine learning project?
Absolutely. I can debug, optimize, improve accuracy, add new features, or enhance your existing text classification project.
Can you deploy the model?
Yes. I can help deploy your model using Flask, FastAPI, or Streamlit as an additional service if required.
Should I contact you before placing an order?
Yes. Please message me before placing an order so we can discuss your dataset, requirements, timeline, and ensure the best solution for your project.

