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-classification-of-us-publicly-listed-companies-based-on-business-description

Table of Contents: Dataset Preparation: The first step is the Dataset Preparation step which includes the process of loading a dataset and performing basic pre-processing. The dataset is then splitted into train and validation sets. Feature Engineering: The next step is the Feature Engineering in which the raw dataset is transformed into flat features which can be used in a machine learning model. This step also includes the process of creating new features from the existing data. Model Training: The final step is the Model Building step in which a machine learning model is trained on a labelled dataset. Improve Performance of Text Classifier: In this article, we will also look at the different ways to improve the performance of text classifiers.

bike-rental-count

cabfare-prediction

color-names

Provides color names and HTML/RGB mappings in various output formats.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

pavanmithare

Config files for my GitHub profile.