jidhnyasa Goto Github PK

scene_segmentation

solution_assets

t-test-an-correlation-using-python

takehomedatachallenges

My solution to the book <A collection of Data Science Take-home Challenges>

tensorflow-interview-questions

🟣 TensorFlow interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

the-grand-complete-data-science-materials

time-series-forecasting-of-amazon-stock-prices-using-neural-networks-lstm-and-gan-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

timeseriesanalysis

Files for my Udemy course specifically on Time Series Analysis

udacity-ab-testing-final-project

This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more traffic or generate more revenue. The project included choosing a metric, building intuition, defining hypothesis and comparing two samples for hypothesis testing.