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This repository contains personal notes from the course that I took from Udemy.

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AayushSameerShah/DataScience_Udemy

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Big data - Spark
Big data - Spark
 
 
CAPSTONE PROJECT
CAPSTONE PROJECT
 
 
Geographical Plotting
Geographical Plotting
 
 
Machine Learning - Bias Variance TO
Machine Learning - Bias Variance TO
 
 
Machine Learning - Decision Tree
Machine Learning - Decision Tree
 
 
Machine Learning - K-means clustering
Machine Learning - K-means clustering
 
 
Machine Learning - KNN
Machine Learning - KNN
 
 
Machine Learning - Linear Regression
Machine Learning - Linear Regression
 
 
Machine Learning - Logistic Regression
Machine Learning - Logistic Regression
 
 
Machine Learning - PCA
Machine Learning - PCA
 
 
Machine Learning - SVM
Machine Learning - SVM
 
 
Machine Learning Intro
Machine Learning Intro
 
 
Matplotlib
Matplotlib
 
 
Natural Language Processing
Natural Language Processing
 
 
NumPy
NumPy
 
 
Pandas
Pandas
 
 
Ploty and Cufflinks
Ploty and Cufflinks
 
 
Recommender System
Recommender System
 
 
Seaborn
Seaborn
 
 
README.md
README.md
 
 

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DataScience_Udemy

Here, I have followed a topic wise structure. To refer any topic at any time - it will become much helpful.

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WARNGING YOU: This is not recommended for everyone, as these are my personal notes. It may contain certain language which might not be appropriate for the general use.

Thanks, you can reference this for your personal use too.

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This repository contains personal notes from the course that I took from Udemy.

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