## How to do Data Science Project

Data science project can be a challenging but rewarding process. By following the steps we can use in this blog, you can work through the project in an organized and effective way, and ultimately arrive at a solution to your problem. Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as […]

## Simple Cryptography Algorithms in Python

Cryptography Algorithms in Python is quite easy to code and we will cover only few here. Cryptography Algorithms have been around the world for more than centuries and there are still many inscriptions around various places in the world which we do not understand. Here in this blog, we will cover very basic cryptography algorithms […]

## Different Method of Model Evaluation(Part-1)

Accuracy is a metric that is used to evaluate the performance of a model on a classification task. It is the fraction of correct predictions made by the model on a data set, expressed as a percentage. For example, if a model makes 90 correct predictions out of 100, its accuracy is 90%. Previously, we […]

## How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms

Load the dataset First, import the packages required to continue. import pandas as pd import numpy as np import matplotlib.pyplot as plt %matplotlib inline Read the dataset using Pandas Read previously loaded data and store it in a variable named df, display the first few rows with head(), by default head() will return first 5 […]

## Find DateTime in the Text Using Python

Why do we need to find DateTime in the text? In the field of data science, we often have to deal with various kinds of data and one of the common is Text data but sometimes datetime in the text has to be extracted. Before jumping into a topic let’s first start with a problem […]

Multi-threading in Python is often used when there are tasks related to I/O bound. But before going further, let’s take a few examples where multi-threading could be used: Downloading images from the web and doing image processing-related tasks. It takes some time to download the image and some time to process it too but these […]

## Working With Datetime in Python

Working with DateTime in Python can be a challenging job if we do not know the right module to do the right thing. Here we will explore some of the useful modules based on their purpose and application rather than exploring the module as a whole. Using datetime Datetime in Python can be done using […]

## MySQL Prepared Statements

MySQL Prepared Statements are the queries or statements they are prepared in a way that they can be used later on. They are complied while on creation and can be executed later as desired. We might need to run prepared statements many times once its created. Lets get little bit deep into it and how […]

## Tweet Scraping with Tweepy

Tweet Scraping can be done with different ways but one of the reliable ones is using Tweepy and Tweeter’s developer API. In this blog we are going to explore how we can do Tweet Scraping using Twitter’s API and Tweepy. The API calls are handled by Tweepy and we only need to give it Keys. […]

## MySQL: Triggers

Triggers in MySQL and SQL Triggers in SQL is a way to invoke something as a response to the events on the table in which Trigger is attached. The example of the event can be Insert, Update, Delete. Triggers are of two type, Row Level and Statement Level. The row level trigger is triggered for […]

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