Data Cleaning, Preprocessing & ML Classification in PythonSayedani Shaikh
I provide end-to-end data mining and machine learning services using Python — from raw, messy data all the way to a trained, evaluated classification model.
What's included:
Handling missing values (mean, mode, forward-fill imputation)
Encoding and transforming categorical features
Feature scaling using StandardScaler and MinMaxScaler
Feature selection using statistical tests (Chi-squared)
Training and comparing multiple classifiers — Decision Tree, Naive Bayes, and SVM
Model evaluation with accuracy metrics
Visualizations (correlation heatmaps, decision tree diagrams)
Tools I use: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, Google Colab
Sayedani's other services
Contact for pricing
Duration1 week
Tags
Python
scikit-learn
Data Analyst
data cleaning
classification
Data Mining
data modelling
Service provided by
Sayedani Shaikh Mumbai, India
- 1
- Followers
Data Cleaning, Preprocessing & ML Classification in PythonSayedani Shaikh
Contact for pricing
Duration1 week
Tags
Python
scikit-learn
Data Analyst
data cleaning
classification
Data Mining
data modelling
I provide end-to-end data mining and machine learning services using Python — from raw, messy data all the way to a trained, evaluated classification model.
What's included:
Handling missing values (mean, mode, forward-fill imputation)
Encoding and transforming categorical features
Feature scaling using StandardScaler and MinMaxScaler
Feature selection using statistical tests (Chi-squared)
Training and comparing multiple classifiers — Decision Tree, Naive Bayes, and SVM
Model evaluation with accuracy metrics
Visualizations (correlation heatmaps, decision tree diagrams)
Tools I use: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, Google Colab
Sayedani's other services
Contact for pricing