Moin_Dalvs's repositories
Excelr_Data_Science_Assignments
Find all EXCELR Data Science Assignment Here
Resume_Screening_and_Parser
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention Sample Data Set Details: Resumes and financial documents
A_Guide_for_Actuarial_Science
What is Actuarial analyst ? what are their responsibilities, skills required and interview questions
EXCELR_Data_Analyst_SQL_Assignment_Part3
1. Write a stored procedure that accepts the month and year as inputs and prints the ordernumber, orderdate and status of the orders placed in that month.
EXCELR_Data_Analyst_SQL_Assignment_Part1
1. create a database called 'assignment' (Note please do the assignment tasks in this database)
EXCELR_Data_Analyst_SQL_Assignment_Part2
1. select all employees in department 10 whose salary is greater than 3000. [table: employee]
Connect_MySQL_with_Python
How to connect MySQL with Python and write Queries to convert table into pd.DataFrame()
ExcelR_Data_Analyst_Python_Assignment
Learn Python
Interview_QnA_Statistics_Data_Science
Data Science Statistics Interview Questions
CO2_Emission_Forecasting
P-140 Air Quality forecasting(CO2 emissions) Business Objective: To forecast Co2 levels for an organization so that the organization can follow government norms with respect to Co2 emission levels. Data Set Details: Time parameter and levels of Co2 emission
From-the-following-tables-write-a-SQL-query-to-display-the-customer-name-customer-city-grade-deli
Assignment 3: From the following tables write a SQL query to display the customer_name, customer city, grade, deliveryagent. deliver yagent city. The result should be ordered by ascending on customer_id. customer table: customer_id|customer_name | city | grade | deliver yagent_id 3002|NickRimando |New York | 100 | 5001 3007 | Brad Davis | New York | 200 | 5001 3005 | Graham Zusi | California | 200 | 5002 3008 | Julian Green [London | 300 | 5002 3004 | Fabian Johnson | Paris | 300 | 5006 3009 | Geoff Cameron | Berlin {| 100 | 5003 3003 | Jozy Altidor {Moscow | 200 | 5007 3001 | Brad Guzan | London | | 5005 deliveryagent table deliveryagent_id| name | city | commission 5001 | James Hoag | New York | 0.15 5002 | Nail Knite | Paris | 013 5005 | Pit Alex [London | 0.1 5006 | Mc Lyon | Paris | 0.44 5007| Paul Adam | Rome | 0.13
How_to_Convert_Docx_or_doc_to_PDF_in_Python
Convert any file .docx or doc into .pdf file
How_to_convert_pdf_doc_or_any_file_into_docx_in_python
Convert .pdf, .doc or any file into docx using python
How_to_Convert_PDF_to_DOCX_in_Python
How to convert .pdf extension files into .docx file in python?
Learn_Statistics_for_Data_science
Central tendency, distribution, skewness and kurtosis
Python_for_Data_Science
1.Python Basics function
Resume_Classification
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
Book_Recommendation_System
Build a Book Recommendation System
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data_Analyst_Challenge
Overview Please understand the below mentioned real-life scenario and try to solve the challenge.
Learn_Feature_Engineering
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
Learn_hypothesis_testing_for_Data_science
Hypothesis for Data Science
Learn_Microsoft_SQL_Server
Microsoft SQL Server Management System
MySQL_DDL_DML_TCL_and_more
MYSQL_Basics
Web_Scraping_Amazon_Product_Reviews
Web Scraping Amazon Reviews with Multiple Pages loop till the Last Page
Web_Scraping_Amazon_products_Image_and_URL
E-commerce companies use recommendation systems to provide suggestions to the customers. They use item-item collaborative filtering, which scales to massive datasets and produces high quality recommendation systems in the real time. This system is a kind of an information filtering system which seeks to predict the "rating" or preferences which user is interested in.