Tag: #tutorial
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Normalizing Data for ML : Methods and Lessons Learned
I ended up writing this article after digging into a tiny rabbit hole of stellar…
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Attention I – Review
References: https://arxiv.org/pdf/1706.03762 We’ll dive deeper into attention later in another blog
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RNN – Review
References: https://arxiv.org/pdf/1912.05911 https://arxiv.org/pdf/1808.03314 https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks https://www.d2l.ai/chapter_recurrent-neural-networks https://www.geeksforgeeks.org/machine-learning/introduction-to-recurrent-neural-network
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Embeddings II – Combining hack
In Embeddings I we explored an LLM Embedding model, an idea of using this trained…
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Time Series – Forecast Models
TimeSeries3_ML_livnlearnversion Imports¶ In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt…
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Time Series – Statistical Models
TimeSeries2_statsmodelling_livnlearnversion Imports¶ In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt…
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Time Series Split
Sources from kaggle offering an hourly energy demand data: https://www.kaggle.com/datasets/robikscube/hourly-energy-consumption provided by PJM (Pennsylvania, Jersey,…
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GNN – Projection
Data Synthetic data for demo. I asked ChatGPT to create user personas and generate data…