Pallavi PadavinWomen in TechnologyCategorical Encoding Techniques: A Complete GuideMachine learning models are constructed using data that has been carefully feature-engineered. Categorical encoding is a crucial aspect of…Sep 101Sep 101
Pallavi PadavinWomen in TechnologyShallow Copy vs Deep Copy vs Assignment of variables: Unraveling the Differences in PythonWhen working with variables in Python, we’ve all encountered situations where it’s necessary to duplicate data for various purposes…Sep 2Sep 2
Pallavi PadavinWomen in TechnologyHugging Face Pipeline: Quick tourTo begin with the Hugging face transformer it is necessary to understand what a pipeline is and its advantages. Let us consider an example…Aug 6Aug 6
Pallavi PadavinWomen in TechnologyPython Interview Prep: Questionnaire Guide Part 3Welcome to the interview preparation guide series part 3. I have covered some of the Python coding FAQ in part 1 and part 2, here is the…Jun 25Jun 25
Pallavi PadavinWomen in TechnologyNormalization in Data Science: A comprehensive guide for feature scalingHere is an interesting article about the tallest man meeting the shortest man on earth.Jun 242Jun 242
Pallavi PadavinWomen in TechnologyEssential HTML Tags for Web Scraping: Every Data Scientist Should KnowIn the world of data science, proficiency in programming languages like Python and R often takes center stage. However, understanding the…Jun 11Jun 11
Pallavi PadavinWomen in TechnologyFrom Raw Text to Insightful Analysis: NLP Text Preprocessing ExplainedThe world is stepping into the realm where machines can understand human language and respond the way we do. NLP, transformer, LLM etc are…May 11May 11
Pallavi PadavinWomen in TechnologyPython Interview Prep: Questionnaire Guide Part 2Welcome to the interview preparation guide part 2. I have covered some of the Python coding FAQ in part 1, here is the collection of yet…Apr 20Apr 20
Pallavi PadavinWomen in TechnologyPython Interview Prep: Questionnaire Guide Part 1Welcome to the interview preparation guide part 1. Python is one of the widely used programming languages in Data Science. Most of the ML…Apr 18Apr 18
Pallavi PadavinWomen in TechnologyBlog series of Hypothesis Testing: One-tailed and Two-tailed TestWelcome to the series of hypothesis testing Part 2!. Click here to read about Part 1 ‘Components of a Hypothesis Test’’.Apr 4Apr 4