Seyong Ryoo

Converting words to numbers is a crucial step in many natural language processing (NLP) tasks and machine learning models that involve text data. [Read More]

```python load packages import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import matplotlib.pyplot as plt import seaborn as sns from sklearn.preprocessing import OneHotEncoder, OrdinalEncoder, MinMaxScaler from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, roc_auc_score from sklearn.model_selection import train_test_split import statsmodels.api as sm... [Read More]

This notebook is designed to accurately recognize digits in a dataset containing tens of thousands of handwritten images, provided by the “Modified National Institute of Standards and Technology” (MNIST). To achieve this, we will build a simple neural network using PyTorch. For further information, refer to this link. [Read More]

```python This Python 3 environment comes with many helpful analytics libraries installed It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python For example, here’s several helpful packages to load [Read More]

In this post, we are going to see what a recurrent neural network (RNN) is, its applications, and then limitations to close. [Read More]