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This is a collection of personal datasets I analysed from Kaggle using a myriad of technical skills including Python, Scikit-Learn, Sklearn Pre-Processing, matplotlib, SciPy, ML, Statistical Inference, and Mathematics.

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Count Vectors.ipynb
Count Vectors.ipynb
 
 
Data Cleaning and Pre-Processing.ipynb
Data Cleaning and Pre-Processing.ipynb
 
 
DataExploration.ipynb
DataExploration.ipynb
 
 
ML, K-means Clustering, Sklearn Clustering.ipynb
ML, K-means Clustering, Sklearn Clustering.ipynb
 
 
README.md
README.md
 
 
RSME, Linear Regression and Grid Search.ipynb
RSME, Linear Regression and Grid Search.ipynb
 
 
Simple Data Visualisation (Titanic Dataset [Kaggle]).ipynb
Simple Data Visualisation (Titanic Dataset [Kaggle]).ipynb
 
 
VoiceAssistantStella.ipynb
VoiceAssistantStella.ipynb
 
 

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Business Data Intelligence Personal Projects

This is a collection of personal datasets I analysed from Kaggle using a myriad of technical skills including Python, Scikit-Learn, Sklearn Pre-Processing, matplotlib, SciPy, ML, Statistical Inference, and Mathematics.

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This is a collection of personal datasets I analysed from Kaggle using a myriad of technical skills including Python, Scikit-Learn, Sklearn Pre-Processing, matplotlib, SciPy, ML, Statistical Inference, and Mathematics.

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python data-science data clustering sklearn scipy matplotlib regression-models kmeans-clustering algorithms-and-data-structures datacleaning sckiit-learn datapreprocessing matplotlib-pyplot crossvalidation

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