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algorithms

:computer: Data Structures and Algorithms in Python

aws-saa-c02-study-guide

How to become a certified AWS Solutions Architect

bank-marketing-data-analysis

customer_segmentation_retail_purchase

In this notebook, the purchases made by around 4000 customers in a period of one year (12/02/2010 - 12/09/2012) is analysed. The customers are further segregated into segments based on Recency, Frequency and Monetary Value (RFM) parameters which can be used to perform target marketing

dailycodingproblem

Problems with my solutions of Daily Coding Problem website

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

database_leetcode

All solutions for SQL problems in LeetCode in MySQl.

detecting-fake-news--python

Using Python, Machine learning , detecting fake news. A simpel prokect to understand training , testing and model accuracy.

github-slideshow

A robot powered training repository :robot:

google-it-automation-with-python-professional-certificate

Crash course on python [Course 1 of 6 in the Google IT Automation with Python Specialization

hacker-rank

All hacker rank - solutions in python

hackerrank-sql

All SQL solutions for HackerRank SQL questions

hello-world

It's the first one!

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

netflix-data-analysis---basic

In this project, i'm just analyzing the tv shows and movies count, over a 10 years period. This is a step 1 analysis. Will extend this incorporating the reviews from IMDB - with NLP , will then rate and categorize movies according to the genre and give ratings.

programing-foundations---algorithms

Algorithms descriptions and data structures base code - All python based.

python-for-algorithms--data-structures--and-interviews

Files for Udemy Course on Algorithms and Data Structures

titanic_prediction-project

Manipulated, Cleansed and Processed Titanic Dataset using Python and predicted survival rate using python’s

top-500-indian-cities-data-analysis

Data analysis project using python , based on the information that is collected and exploring it for any insights. Data handling, data analysis, data visualization, valuation of the data. Analyzing literacy rate of the cities and further state. Top 10 cities with most number of literates alive. Male and female literacy rates. Analyzing effective literacy rate, graduates. Correlation between urbanization and literacy. Sex ratio Which states have most of its male population in urban areas. Which states have most of its younger population in urban areas. Top 10 States. Problems solved : Correlation between urban and rural areas Education % in areas Male and female education Urbanization effects Tools & skills : Jupyter , IPython, Spyder Numpy, Pandas, Matplotlib, Statsmodel, Scipy