Technical Writer @ Draft.Dev
I'm a Software Developer and Machine Learning Engineer with a passion for Natural Language Processing, Computer Vision, and Reinforcement Learning. I am passionate about creating services and products that have a large impact. I also enjoy writing technical articles that clarify software engineering, machine learning, and deep learning concepts.
I am available for full-time and contract roles.
Data Scientists and Machine Learning Engineers often contemplate the model and parameters to produce the best accuracy after data preprocessing. Hyperparameter tuning is the process or method used to find out the best parameters for a model. In this ...

Outline: Introduction. Understanding the Data. Preprocessing the Data. Analyzing the Data. Building the Model. Deploying the Model with Flask. Conclusion. Introduction According to Rx Resource.org, less than 5% participate in 30 minutes of physical...

Introduction When building models, it is common practice to evaluate performance of the model. Model accuracy is a metric used for this. This metric checks how well an algorithm performed over a given data, and from the accuracy score of the training...

The increase in data size over the past few years has drawn the attention of machine learning developers to focus on quality over quantity. Why? Substandard data, no matter how large, will produce substandard results. Feature selection is one of the ...
