Project - 3 | Data Analysis with Python | скачать в хорошем качестве

Project - 3 | Data Analysis with Python |

📩 Download All 15 Projects Source Codes + Datasets : https://rzp.io/rzp/all15projects Download Dataset - https://drive.google.com/file/d/1qPIX... 👉Connect with me on LinkedIn -   / rohit-grewal   👉Purchase - Python Data Analysis Self Study Notes & All Projects Source Codes (Rs.499 only) - https://rzp.io/l/dslnotes239 👉Download Project (Python Code & Data) - https://rzp.io/l/project3sourcecode Download - Python Pandas Notes ( Rs.50 ) - http://bit.ly/3KxMpgA --------------------------------- Watch our videos in Hindi on new channel:    / @itcourseseasy   --------------------------------- 👉Enroll in our Udemy courses : 1. Python Data Analytics 13 Projects - https://www.udemy.com/course/bigdata-... 2. Python For Data Science - https://www.udemy.com/course/python-f... 3. Numpy For Data Science - https://www.udemy.com/course/python-n... ------------------------------------ 👉Join Facebook Group -   / datasciencelovers   👉Join WhatsApp Group - https://chat.whatsapp.com/JKBkj7Lc9Ba... 👉Join LinkedIn Group -   / 9247278   👉Follow on Instagram -   / data_science_lovers   Contact Mail Id : datasciencelovers@gmail.com ---------------------------------------- Download Free Core Python Notes - https://datasciencelovers.graphy.com/... --------------------------------------- In this video, you will learn how to work on a real project of Data Analysis with Python. Questions are given in the project and then solved with the help of Python. It is a project of Data Analysis with Python or you can say, Data Science with Python. The commands that we used in this project : import pandas as pd -- To import Pandas library pd.read_csv - To import the CSV file in Jupyter notebook head() - It shows the first N rows in the data (by default, N=5) df.isnull( ).sum( ) - It detects the missing values from each column of the dataframe. df.drop(‘Col_name’ ) - To drop a column from dataframe. value_counts - In a column, it shows all the unique values with their count. It can be applied on a single column only. df.groupby(‘Col_1’)[‘Col_2’] .sum( ) - To create groups - Two Keys – Apply on Col_2 grouped by Col_1. df['Column_name'].map( { old1:new1 , old2:new2} ) – Change the all values of a column from old to new. We have to write for all values of column otherwise Nan will appear. df['Column_name'].mean() - To show Mean value of a column. df.groupby('Column_1').Column_2.describe() - To create groups based on Column1 and show statistics summary based on Column2. ....................................................................... Q. 1) Instruction ( For Data Cleaning ) - Remove the column that only contains missing values. Q. 2) Question ( Based on Filtering + Value Counts ) - For Speeding , were Men or Women stopped more often ? Q. 3) Question ( Groupby ) - Does gender affect who gets searched during a stop ? Question ( mapping + data-type casting ) Q. 4) Question ( mapping + data-type casting ) - What is the mean stop_duration ? Q. 5) Question ( Groupby , Describe ) - Compare the age distributions for each violation. ------------------------------------------------------- You must check our other Data Analytics Projects : Project 14 - Salary Data Analysis -    • Project – 14 (with Dashboard) | Salary Dat...   Project 13 - HR Data Analytics -    • Real Project – 13 | HR Data Analysis | Pyt...   Project 12 - AI Market Financial Data Analysis -    • Real Project – 12 | AI' Financial Market D...   Project 11 - Airlines' Flights Data Analysis -    • Analyse Airlines' Flights Dataset like a P...   Project 10 - Spotify-YouTube Data Analysis -    • Project - 10 | Data Analysis with Python |...   Project 9 -    • Analyse Sales Data like a Pro with Python ...   Project 8 -    • Project - 8 | Data Analysis with Python | ...   Project 7 -    • Project - 7 | Data Analysis with Python | ...   Project 6 -    • Project - 6 | Data Analysis with Python | ...   Project 5 -    • Project - 5 | Data Analysis with Python | ...   Project 4 -    • Project - 4 | Data Analysis with Python | ...   Project 3 -    • Project - 3 | Data Analysis with Python | ...   Project 2 -    • Project - 2 | Data Analysis with Python | ...   Project 1 -    • Project - 1 | Data Analysis with Python | ...   #python #dataanalytics #datascience #project