sahanakandukuri Goto Github PK

app-rating-prediction

Make a model to predict the app rating, with other information about the app provided.

brain-tumor-classification-from-mri

• Objective: To develop an Image Classification ML model (in Python), to detect if a given Brain MRI scan has a tumor in it or not • Designed the neural network with best-tried layers and achieve a high accuracy of 99% • Implemented Keras – TensorFlow packages to design the CNN architecture

database-design-of-e-commerce-data---postgresql

• Structured a database for an e-commerce website’s data in BCNF with fully identified entity relationships • Identified and implemented the required constraints. • Executed advanced SQL queries(triggers, functions, etc) to identify the top-performing products, sellers and marketing leads in the data

retail-analysis-with-walmart-data

sentiment-analysis-for-marketing

Sentiment analysis is a strategy that uses natural language processing to extract insights from raw text and comments, for example, to understand the sentiment of a customer/user. In this project, we are trying to enable companies to understand the scope of a product ahead of its launch, also provide insights based on previous customer reviews so marketing teams can better design their marketing campaigns.

tweetsentimentclassification

wrangling_pyspark