Home values are influenced by many factors. Basically, there are two major aspects: The environmental information, including location, local economy, school district, air quality, etc. The characteristics information of the…
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.…
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…
This post is evaluating Aagorithms using MNIST In [1]: import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt %matplotlib inline import warnings warnings.filterwarnings('ignore') In [2]:…
Following is my submission for Kaggle's Titanic Competition In [361]: import pandas as pd import numpy as np In [362]: df_train = pd.read_csv(r'C:UserspiushDesktopDatasetTitanictrain.csv') In [363]: df_train.head(2) Out[363]: PassengerId Survived Pclass Name Sex Age…
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…
This part is a kaggle tutorial using Kobe Bryant Dataset - Part 1. You can get the data from https://www.kaggle.com/c/kobe-bryant-shot-selection . What excited me was that this dataset is excellent…