Iswaqasahmed/PROBLEMS_SOLVING

Stars
1
Language
Jupyter Notebook
Created over 4 years ago
Updated about 4 years ago

Iswaqasahmed/PROBLEMS_SOLVING

Iswaqasahmed

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

In real life, we have been facing a lot of mathematical,computational,statistical or medical (etc) problems. Although every problems comes with its solution, matter of the fact that how to tackle your problems. **Some Time Solution is simple but the way we approach it difficult.** In this repository a lot of simple to complex problems I'll trying to solve as much easier as possible.

CG-Assignment

UBIT-whatapp-Group-Chat-Analysis-

The data sets of UBIT WhatsApp Group get my own google drive.

Jupyter Notebook

Pakistan-Corona-Analysis

Jupyter Notebook

cummulative-frequency

To find the cummulative frequency for ungroup data on this frequency also find mode

SQL-Python

In this repository, how to connect python with sql, how to insert data into table through stored procedures

Jupyter Notebook

portfolio-test

Machine-Learning

Jupyter Notebook

keras

Jupyter Notebook

Tensorflow

Jupyter Notebook

OOP

Jupyter Notebook

Machine-Learning-With-MNIST-Data-Set-

Jupyter Notebook

Numpy

Jupyter Notebook

Frequency-distribution-for-strings-

Frequency Distribution is the method in which we count no of repeating digit/words.

Jupyter Notebook

Data-Analysis

# DATA Analysis: First of all, we need to undersatand, what is meant by **DATA ANALYSIS**: * Consider a senario, you have a shop, everyday you selling your glossories with different rates. Next month, inflation is being increased by 10%, that means net prices also to be changed. You have a last month and current month data. So, According you data you got that the product **A**, previous price 20$ and Now 25$, last profit 4% and now 3.7%. 0.3% reduction in your profit according to inflation. Because logistic to inventory rate chnaged. `Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.`[1] [1]:(Xia, B. S., & Gong, P. (2015). Review of business intelligence through data analysis. Benchmarking, 21(2), 300-311. doi:10.1108/BIJ-08-2012-0050)

Jupyter Notebook

python

1. Variables, Data Types and Analysis

Jupyter Notebook