Featured Post

SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

Image
 Here are the five top commonly asked SQL queries in the interviews. These you can expect in Data Analyst, or, Data Engineer interviews. Top SQL Queries for Interviews 01. Joins The commonly asked question pertains to providing two tables, determining the number of rows that will return on various join types, and the resultant. Table1 -------- id ---- 1 1 2 3 Table2 -------- id ---- 1 3 1 NULL Output ------- Inner join --------------- 5 rows will return The result will be: =============== 1  1 1   1 1   1 1    1 3    3 02. Substring and Concat Here, we need to write an SQL query to make the upper case of the first letter and the small case of the remaining letter. Table1 ------ ename ===== raJu venKat kRIshna Solution: ========== SELECT CONCAT(UPPER(SUBSTRING(name, 1, 1)), LOWER(SUBSTRING(name, 2))) AS capitalized_name FROM Table1; 03. Case statement SQL Query ========= SELECT Code1, Code2,      CASE         WHEN Code1 = 'A' AND Code2 = 'AA' THEN "A" | "A

2 Top Python Libraries to Create ML model

To Create a Model of Machine Learning in Python, you need TWO libraries. One is 'NUMPY' and the other one is 'PANDAS'.


Libraries You Need to Create ML Model

2 Top Libraries You Need


To Build a model of Machine learning you need the right kind of data. So, use the data for your project should be refined. Else, it will not produce correct results. The prime steps are Data Analysis and Data Preprocessing.

  1. NUMPY - It has the capabilities of Calculations.
  2. PANDAS- It has the capabilities of Data processing.

How Install Python Machine Learning Libraries 

import NumPy as np # linear algebra
import pandas as PD # data processing, CSV file I/O (e.g. PD.read_csv)


How to Check NumPy/Pandas installed

After '.' you need to give double underscore on both sides of the version. 

how to check numpy or pandas version


How Many Types of Data You Need

You need two types of data. One is data to build a model and the other one is data you need to test the model.
  1. Raw data
  2. Evaluate-data


How to Build a Model Flowchart

I have given a flowchart to build a model along with sample data.


Comments

  1. Big data solutions developer should understand the need of Data, and they should work to build more appropriate services to meet the requirements of their clients.


    ReplyDelete

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

Explained Ideal Structure of Python Class

How to Check Kafka Available Brokers