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