An Aspiring Data Scientist
An Aspiring Data Scientist
Highly motivated and detail-oriented Data Science Enthusiast with a strong foundation in statistics, programming, and machine learning. Eager to apply my academic training and hands-on projects to contribute to data-driven decision-making. Possesses skills in data manipulation, exploratory data analysis, and predictive modeling. As an analyst intern, I worked with SQL, Python, Tableau, and Looker, and gained knowledge of algorithms like Linear-Logistic Regression, Decision Trees, Random Forests, SVM, and Neural Networks. Developed a recommendation model for categorizing tickets based on user input text data. A quick learner passionate about the latest advancements in the field.
Fine-tuning LLM model using Quantization, LoRA, QLoRA.
Before delving into the
complexity of fine-tuning with Google’s Gemma Model, let’s first familiarize
ourselves with
In this blog, I delve into the world of advanced AI
Read More..Outliers in data science refer to data points that deviate significantly from the majority of the observations in a dataset. These are data values
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