Machine Learning Model Development
Comprehensive machine learning solutions covering the entire ML pipeline from data preprocessing to model deployment.
Key Services & Features
Data Preprocessing, Cleaning & Exploratory Data Analysis (EDA): handling missing values, outliers, feature engineering, correlation analysis
Supervised Models: Logistic Regression, Random Forest, Decision Tree, Support Vector Machines, Naive Bayes, K-Nearest Neighbors, etc.
Unsupervised Models: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), etc.
Model Evaluation: Precision, Recall, F1-Score, ROC-AUC, Confusion Matrix
Model Optimization: GridSearchCV, RandomizedCV, K-Fold Cross Validation
Worked on numerous classification and prediction tasks — including heart disease detection, salary prediction, customer churn prediction, diabetes analysis, and more
Quick Overview
Note: This is just a snapshot — I've worked extensively across classical ML workflows using Python & scikit-learn to solve both research and industry problems.
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Let's discuss how this service can help transform your business with cutting-edge AI solutions.