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Visualise Categorical Variables in Python

Visualise Categorical Variables in Python

  • Post published:December 16, 2016
  • Post category:Data Analysis
  • Post comments:5 Comments
  • Reading time:47 mins read

It is crucial to learn the methods of dealing with categorical variables as categorical variables are known to hide and mask lots of interesting information in a data set. A…

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visualization of house prices

Visualisation of House Prices

  • Post published:October 8, 2016
  • Post category:Data Analysis/Kaggle
  • Post comments:1 Comment
  • Reading time:45 mins read

Visualization is the presentation of data in a pictorial or graphical format. It enables decision-makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns.…

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4 different ways to predict survival on Titanic

  • Post published:August 27, 2016
  • Post category:Data Analysis/Kaggle
  • Post comments:0 Comments
  • Reading time:179 mins read

These are my notes from various blogs to find different ways to predict survival on Titanic using Python-stack. I am interested to compare how different people have attempted the kaggle…

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EDA

Exploratory Data Analysis with Pandas

  • Post published:August 14, 2016
  • Post category:Data Analysis
  • Post comments:0 Comments
  • Reading time:253 mins read

This post is exploratory data analysis with pandas. Clear data plots that explicate the relationship between variables can lead to the creation of newer and better features that can predict…

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facebook

Facebook Data Analysis

  • Post published:June 25, 2016
  • Post category:Data Analysis/Kaggle/Machine Learning
  • Post comments:0 Comments
  • Reading time:420 mins read

In [20]: import pandas as pd import numpy as np In [ ]: # Take few samples for the visualization sample_fbcheckin_train_tbl = fbcheckin_train_tbl[:10000].copy() In [21]: df = pd.read_csv('train.csv', index_col='row_id') In [22]: df.head() Out[22]: x y…

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Evaluating Machine Learning Algorithms

Evaluating Machine Learning Algorithms

  • Post published:June 10, 2016
  • Post category:Machine Learning
  • Post comments:2 Comments
  • Reading time:104 mins read

This blog contains notes for me to understand how to evaluate machine learning algorithms . I want to see how models compare and contrast to each other. This is from…

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