danieljordan2
Data scientist | Data Analysis | Mathematician | Machine Learning | Deep Learning | Visualization
Queretaro, Mexico
Pinned Repositories
Classifying-fish-using-NN
Identifying the origin of fish from the growth-ring diameter of scales using Neural Networks
danieljordan2
Dimensionality-reduction-using-PCA-and-tSNE
Dimensionality reduction of a dataset using PCA and t-SNE
Estimation-of-a-non-linear-function
Estimation of a non-linear function using neural networks
Experimental-probability-estimation-using-EDA
Experimental probability estimation of 3 big earthquakes on sept. 19 in Mexico
Loan-default-prediction
Classification model that predicts clients who are likely to default on their bank loan.
Marketing-campaign-analysis
Analyze the failure of "All you need, Inc." recent marketing campaigns and identify key insights and recommendations.
MNIST-digit-clustering
Clustering of the MNIST dataset digits using t-SNE and Kmean algorithm.
Multicategory-classification
Classification problem of 3 categories solved by a neural network
Predicting-Potential-Customers
ML model to help identify which leads are more likely to convert to paid customers
danieljordan2's Repositories
danieljordan2/Loan-default-prediction
Classification model that predicts clients who are likely to default on their bank loan.
danieljordan2/Classifying-fish-using-NN
Identifying the origin of fish from the growth-ring diameter of scales using Neural Networks
danieljordan2/danieljordan2
danieljordan2/Dimensionality-reduction-using-PCA-and-tSNE
Dimensionality reduction of a dataset using PCA and t-SNE
danieljordan2/Estimation-of-a-non-linear-function
Estimation of a non-linear function using neural networks
danieljordan2/Experimental-probability-estimation-using-EDA
Experimental probability estimation of 3 big earthquakes on sept. 19 in Mexico
danieljordan2/Marketing-campaign-analysis
Analyze the failure of "All you need, Inc." recent marketing campaigns and identify key insights and recommendations.
danieljordan2/MNIST-digit-clustering
Clustering of the MNIST dataset digits using t-SNE and Kmean algorithm.
danieljordan2/Multicategory-classification
Classification problem of 3 categories solved by a neural network
danieljordan2/Predicting-Potential-Customers
ML model to help identify which leads are more likely to convert to paid customers