DataFrame Operations in Pyspark
Pyspark is nothing but Python API of Spark. It is one of the most tool used for Big data analytics. In this tutorial we usually [continue reading..]
Articles by Mitra N Mishra
Pandas Series
Pandas series is an one dimensional data like Python List or Array. It is capable to hold any types of data. It has own methods [continue reading..]
How to use classification metrics in Scikit learn
Classification matrices implementation in Scikit learn. import matplotlib.pyplot as plt from sklearn import datasets from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split,cross_val_score,KFold from sklearn.metrics import [continue reading..]
Variance Thresholding in Pyhton for feature selection
variance thresholding It supposes that features with low variance contain less information. By default, it removes all zero variance features. Practically implementation in Python with [continue reading..]
Use case: Kaggle House Prices(Advanced Regression Technique)
Kaggle house prices competition is a well known and very useful regression case study for freshers, newbie or even experienced people who want some hands-on [continue reading..]
Data science interview question: Linear regression
It is very necessary for a data scientist aspirants to have depth knowledge of machine learning. They are expected to have depth knowledge of different [continue reading..]
Numpy tutorial for Array and Matrix Part-I
Numpy is the main library for numerical and scientific computing in Python. Numpy basically stands for Numerical python. It is used to perform the numerical [continue reading..]
Data science career guide
Data science is quite a large and diverse field, getting a break into data science is very difficult. The title of the Data scientist in [continue reading..]
An introduction to artificial intelligence
Introduction Artificial Intelligence which is defined as intelligence exhibited by machines has become a buzz word now a day. Everyone is talking about it and we [continue reading..]
Machine learning classification
Introduction Supervised machine learning has two types: 1) Regression, 2) Classification In regression, we already saw that it deals with the continuous data type that [continue reading..]