Kamna SinhainData At The Core !How LLMs Work ? Explained in 9 Steps — Transformer AcrhitectureTransformer Architecture :Dec 24, 20236Dec 24, 20236
Kamna SinhainSensewithaiAI driven Sales Productivity Enhancement Using Domain Specific Web Search, Data Analysis, ML and…This story talks about one of our customer projects where we created an ETL data pipeline that included Web Data Extraction, Intelligent…Dec 10, 2023Dec 10, 2023
Kamna SinhainSensewithaiDomain Specific Search and Data Aggregation For Customer Specific Usecase Using Pyspark, ML and…This is Part 1 of this series , it has Part 2 and Part 3 following up to give a complete picture of how we went about solving this…Dec 5, 2023Dec 5, 2023
Kamna SinhainData At The Core !Cleaning Data For Data Analysis — in Python with 21 examples and code.Data cleaning is the process of identifying and correcting errors and inconsistencies in data sets so that they can be used for analysis…Oct 6, 20234Oct 6, 20234
Kamna SinhainData At The Core !Hypothesis Test And All About P Value,T test,Chi Square Test, Anova Test and When to Use What?Hypothesis TestSep 28, 20232Sep 28, 20232
Kamna SinhainData At The Core !Customer Segmentation with Marketing Data using Python — With 25 examples and code.Comparing Groups: Tables and VisualizationsSep 26, 2023Sep 26, 2023
Kamna SinhainData At The Core !Marketing Analytics using Python — SeriesAs a data professional working in the field for 14 years, it has been a nonstop learning experience and a joyful and enriching one ever…Sep 24, 20232Sep 24, 20232
Kamna SinhainData At The Core !Understanding Marketing Analytics in Python. [Part 9] Working with Categorical variables.Exploring Associations in Survey Responses [ cardinal variables] from the Marketing Dataset :Sep 24, 2023Sep 24, 2023
Kamna SinhainData At The Core !Understanding Marketing Analytics in Python. [Part 8] Transforming Variables.Transforming Variables before Computing Correlations :Sep 24, 2023Sep 24, 2023