Pranay Churamani
PranayChuramani21
Data Scientist | Data Analyst | Machine Learning | MySQL | OOPS | NumPy | pandas | API | Selenium | Tableau | matplotlib | Seaborn | Scikit-learn | Excel
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This recommendation system uses the Zomato API to give access to the freshest and most exhaustive information for over 1.5 million restaurants across 10,000 cities globally
This project is based on an intuitive CNN model that assigns a caption to the given image using LSTM
This project is based on a Logistic Regression model that is used to analyze and predict whether a person, who had boarded the Titanic has a chance of survival or not, using machine learning
This is an audio classification project that classifies various sounds using their unique spectrogram into classes such as Dog Barking, Sirens, Street Music etc using Neural Networks
Financial Performance Dashboard showcasing meticulous financial performance analysis using Power BI.
Repositories
16Financial Performance Dashboard showcasing meticulous financial performance analysis using Power BI.
No description provided.
Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.
This recommendation system uses the Zomato API to give access to the freshest and most exhaustive information for over 1.5 million restaurants across 10,000 cities globally
This project is based on an intuitive CNN model that assigns a caption to the given image using LSTM
This project is based on a Logistic Regression model that is used to analyze and predict whether a person, who had boarded the Titanic has a chance of survival or not, using machine learning
This is an audio classification project that classifies various sounds using their unique spectrogram into classes such as Dog Barking, Sirens, Street Music etc using Neural Networks
No description provided.
Created an engaging Dashboard in Power BI that represents the patterns & trends of a superstore data that contains information regarding the sales and profits made by this store along with its customer details.
No description provided.
This project is based on the prediction of the sentiments of tweets posted on Twitter by different account users.
This project uses Cifar-10 dataset to classify the images into 10 different classes
This project is based on an advanced model with the ability to predict the facial emotion of a person in an image.
This project depicts study of modern investments in initial startups using data science libraries.
This project describes an autonomous Instagram Bot used to search the most popular food blog handles
This project is based on an intelligent classifier that predict the topic of newspaper articles