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A collection of my deep learning learning journey - implementations from scratch covering core concepts like neural networks, activation functions, gradient descent, and backpropagation. Includes hβ¦
A complete machine learning journey with hands-on notebooks, notes, and projects. Covers supervised and unsupervised learning, model evaluation, and more β all organized for practical learning and β¦
This GitHub repository is my personal hub of growth and discovery β¨βa dynamic space to track my journey, share progress, and showcase a variety of notebooks on Python, ML and data science. Dive in,β¦
Forecasting House Property Sales Prices (2007β2019) using ARIMA, SARIMA, Holt-Winters, Prophet, and LSTM models β a comparative time series analysis to identify the best performing model.
Jupyter Notebook
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