Assignments

This repository contains exploratory data analysis of various datasets and also includes assignments exploring the power of pandas and numpy library.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Alcohol Quality Prediction-Random Forest.ipynb		Alcohol Quality Prediction-Random Forest.ipynb
CAMELOT.ipynb		CAMELOT.ipynb
Corona Disease Spread Simulation.ipynb		Corona Disease Spread Simulation.ipynb
Dataframe Indexing and Pandas Series data structure.ipynb		Dataframe Indexing and Pandas Series data structure.ipynb
Dealing With Dummies.ipynb		Dealing With Dummies.ipynb
Distributions in Pandas.ipynb		Distributions in Pandas.ipynb
Euler Website-Q1.ipynb		Euler Website-Q1.ipynb
Exploratory Analysis of Planets dataset.ipynb		Exploratory Analysis of Planets dataset.ipynb
Intro To DS Asssignmt 2 Answer.ipynb		Intro To DS Asssignmt 2 Answer.ipynb
Intro to Python Programming.ipynb		Intro to Python Programming.ipynb
Intro to data Science Practice 1.ipynb		Intro to data Science Practice 1.ipynb
Introduction to ML-0.ipynb		Introduction to ML-0.ipynb
Logistic Regression and confusion Matrix.ipynb		Logistic Regression and confusion Matrix.ipynb
PCA and feature extraction from images .ipynb		PCA and feature extraction from images .ipynb
Pdf Cnoverter Practice 1 and Turtle Code.ipynb		Pdf Cnoverter Practice 1 and Turtle Code.ipynb
Promotion of Employees Prediction.ipynb		Promotion of Employees Prediction.ipynb
README.md		README.md
Reduced Matrix.ipynb		Reduced Matrix.ipynb
Reduced Row Echelon Form of a Matrix.ipynb		Reduced Row Echelon Form of a Matrix.ipynb
Regression Class ML Project.ipynb		Regression Class ML Project.ipynb
Text Analytics.ipynb		Text Analytics.ipynb
Titanic Dataset Practice 2.ipynb		Titanic Dataset Practice 2.ipynb
Titanic Exploratory Analysis.ipynb		Titanic Exploratory Analysis.ipynb
Various Euler problems.ipynb		Various Euler problems.ipynb
Working with dataframes.ipynb		Working with dataframes.ipynb
pdf tables to excel basic flow.ipynb		pdf tables to excel basic flow.ipynb

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