Building Machine Learning & AI model

Implementation of AI model for the specific requirement using following process Data Gathering, Data preparation, Choosing a model, Training, Evaluation, Parameter Tuning and Prediction.

Machine Learning Algorithms

Deep learning, Neural Networks, Regression, Decision Tree & Clustering.

Supervised Learning models

Classification Fraud detection, image classification, customer retention


Market Forecasting, Growth Predictions

Unsupervised Learning models

Clustering Customer segmentations, Target marketing, Recommendation system