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I will do python web scraping, data extraction, and automation
Expert Data Scientist offering web scraping, indepth EDA, ML, 7year experience
"Expert Data Scientist offering web scraping, in-depth EDA, custom model training, and full-stack web application development."
NLP , ANN , CNN , RAG , DATA VISUALIZATION , ML ,DEEP LEARNING , AI , DA...
About this Gig
I provide end-to-end Machine Learning services, from collecting raw data to building accurate predictive models. Whether you need business insights, price prediction, sales forecasting, customer analysis, or an AI model for your project, I'll deliver a professional, customized solution using Python.
I can manually or automatically collect data, clean and preprocess it, analyze patterns, engineer features, train machine learning models, evaluate their performance, and deliver accurate predictions with well-documented code.
What I Offer
- Manual & Automated Data Scraping
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering & Feature Scaling
- Machine Learning Model Development
- Regression & Classification Models
- Model Training & Performance Evaluation
- Hyperparameter Tuning
- Prediction & Forecasting
- Data Visualization & Insights
- Clean, Well-Documented Python Code
- CSV, Excel, JSON & Jupyter Notebook Deliverables
Technologies I Use
- Python
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Selenium
- BeautifulSoup
I collect data manually or through custom Python web scraping solutions, depending on your project requirements.
Technology:
Python
•
Excel
•
Selenium
•
Beautiful soup
•
Pandas
Technique:
Manual
My Portfolio
FAQ
1. What do you need from me to start the project?
Please provide your dataset (CSV, Excel, SQL, or other formats), a brief description of your project, your objectives, and any specific requirements. If you don't have a dataset, I can help collect or scrape data depending on your project.
2. Can I collect or scrape data for my machine learning project?
Yes. If your project requires data collection, I can manually collect data or build a custom Python web scraper (where appropriate) before cleaning and preparing it for machine learning.
3. Which machine learning algorithms do you use?
I select the most suitable algorithm based on your project rather than using one fixed model. This may include Linear Regression, Logistic Regression, Decision Trees, Random Forest, Support Vector Machine (SVM), KNN, Gradient Boosting, XGBoost, and other Scikit-learn models.
What programming languages and tools do you use?
I primarily work with Python using libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Selenium, and BeautifulSoup, depending on the project requirements.
5.What files will you receive?
You will receive clean and well-documented Python code, Jupyter Notebook (.ipynb), the processed dataset, trained model (if applicable), prediction results, visualizations, and the output in CSV, Excel, or JSON format as requested.
6. Can I improve or fix my existing machine learning project?
Yes. I can review your existing code, improve preprocessing, optimize feature engineering, enhance model performance, fix errors, and explain the workflow if needed.
