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$
USD
I will build nlp and machine learning models for your data
About this Gig
Are you looking for a reliable Python developer to build an NLP or Machine Learning solution for your project?
I can help you turn your data into a working Machine Learning solution using Python and modern NLP techniques.
What I Offer
I can develop custom solutions for:
Natural Language Processing (NLP)
Text Classification
Sentiment Analysis
Spam Detection
Text Preprocessing & Cleaning
Feature Extraction using TF-IDF and CountVectorizer
Exploratory Data Analysis (EDA)
Feature Engineering
Machine Learning Model Development
Model Training & Evaluation
Model Comparison
Hyperparameter Tuning
Prediction Systems
Data Visualization
Machine Learning APIs using FastAPI
Technologies I Use
Python
Pandas
NumPy
Scikit-learn
NLTK
Matplotlib
Seaborn
FastAPI
What You Will Receive
Clean and organized Python code
Proper data preprocessing
NLP feature extraction
Machine Learning model training
Model evaluation with appropriate metrics
Visualizations where required
Prediction results
Source code
Clear explanation of the implementation
I don't believe in using the same model for every problem. I first understand your dataset and objective, then choose an appropriate approach based on your requirements.
Programming language:
Python
•
MATLAB
•
SQL
•
Colab
•
NoSQL
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
MLflow
•
SimpleCV
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What NLP tasks can you handle?
I can work on text classification, sentiment analysis, spam detection, text preprocessing, feature extraction, topic modeling, and other custom NLP tasks depending on the project requirements.
Which programming language do you use?
I primarily use Python with libraries such as Pandas, NumPy, Scikit-learn, NLTK, Matplotlib, and Seaborn.
Can you choose the Machine Learning model for me?
Yes. If you don't have a specific algorithm in mind, I can evaluate the problem and select an appropriate approach based on the dataset and objective.
Can you compare multiple Machine Learning models?
Yes. Depending on your package, I can train multiple suitable models and compare their performance using appropriate evaluation metrics.
Can you improve my existing NLP/ML model?
Yes. I can review your existing implementation, identify potential issues, and work on preprocessing, feature engineering, model selection, hyperparameter tuning, and evaluation.
Can you convert the model into an API?
Yes. FastAPI-based model deployment can be provided as an additional service or included in a higher-tier package.
