Building Predictive Model & Algorithms

Before scheduling a meeting, please ensure that this call is exclusively intended for real-life projects and open-source communities. During our discussion, we will focus on creating predictive models without relying on third-party machine learning libraries.

Our goal is to collaboratively build a predictive model for your business or startup. To achieve this, it's essential to have a well-defined concept and a clear strategy for data collection. We are ready to provide guidance and frameworks to facilitate the data collection process.

Let's work together to transform your ideas into data-driven solutions that drive success for your venture. Please reach out to us to schedule a meeting on this exciting journey towards building custom machine learning models.

• OLS Algorithms
• WLS Algorithms
• GLS Algorithms
• L1 & L2 Regularisation Algorithms
• Elastic Net Regularisation Algorithms
• Logistic Regression Algorithms
• Decision Tree Algorithms
• KNN Algorithms
• Clustering Algorithms

• Gradient Descent Algorithms
• Truth Tables Algorithms
• Decision boundary Algorithms
• Classification Metrics Algorithms
• Residual Error Algorithms (MSE, RMSE & MAE)
• R Square & R Adjusted Square Algorithms
• K Fold Cross Validation Algorithms

• Feed Forward Neural Nets Algorithms
• CNN (Convolutional neural network) Architectures
• RNN (Recurrent Neural Networks) Architectures
• LSTM (Long Short Term Memory) Architectures
• Regression & Classification Architectures