Towards AI

JULY 19, 2023

Use the following methods- Validate/compare the predictions of your model against actual data Compare the results of your model with a simple moving average Use k-fold cross-validation to test the generalized accuracy of your model Use rolling windows to test how well the model performs on the data that is one step or several steps ahead of the current (..)

Cross Validation 98

Cross Validation Clustering EDA Data Preparation 98

Pickl AI

JULY 12, 2024

Algorithms in ML identify patterns and make decisions, which is crucial for applications like predictive analytics and recommendation systems. Supervised Learning Algorithms In supervised learning , algorithms learn from labelled data to predict outcomes for unseen data points.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

OCTOBER 15, 2024

Applications : Stock price prediction and financial forecasting Analysing sales trends over time Demand forecasting in supply chain management Clustering Models Clustering is an unsupervised learning technique used to group similar data points together. Popular clustering algorithms include k-means and hierarchical clustering.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52