Data-Science

This repository contains python codes as well as jupyter notebooks useful for ML and Data Science

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
Deep Learning Coursera		Deep Learning Coursera
Deep Learning		Deep Learning
062-derivatives-and-gradient.mp4		062-derivatives-and-gradient.mp4
108-time-series.mp4		108-time-series.mp4
109-sequence-problems.mp4		109-sequence-problems.mp4
110-vanishing-gradients.html		110-vanishing-gradients.html
111-vanilla-rnn.mp4		111-vanilla-rnn.mp4
112-lstm-and-gru.mp4		112-lstm-and-gru.mp4
113-time-series-forecasting-code-along.mp4		113-time-series-forecasting-code-along.mp4
114-time-series-forecasting-with-lstm-code-along.mp4		114-time-series-forecasting-with-lstm-code-along.mp4
115-rolling-windows.mp4		115-rolling-windows.mp4
116-rolling-windows-code-along.mp4		116-rolling-windows-code-along.mp4
117-exercise-1-solution.mp4		117-exercise-1-solution.mp4
118-exercise-2-solution.html		118-exercise-2-solution.html
All Cheat Sheets.pdf		All Cheat Sheets.pdf
Important Links.md		Important Links.md
LogisticRegression.ipynb		LogisticRegression.ipynb
ML Utility Functions		ML Utility Functions
ML cheatsheets_compressed.pdf		ML cheatsheets_compressed.pdf
Machine Learning Model Insights		Machine Learning Model Insights
Python utility functions		Python utility functions
README.md		README.md
RF.ipynb		RF.ipynb
Sentiment_Analysis.ipynb		Sentiment_Analysis.ipynb
Visualization codes		Visualization codes
groq.ipynb		groq.ipynb
regex-1.pdf		regex-1.pdf
resultant_data.csv		resultant_data.csv

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