anushree-patil's Projects
Classify the news into one of these category "world", "sports", "business", and "Science".
This project aims to predict whether the customer will continue with the bank or not after 6 months. Used 13 independent and 1 dependent feature to predict the output. Utilized the Random Forest Algorithm to train the model. Used Scikit-Learn for many of the data pre-processing tasks.
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
A chit fund has 25 members. Each month they contribute Rs 2000 each. End of the month, the person who bids the lowest for the corpus, gets his bid. The group organizer gets paid a fixed commission of Rs 2500 each month (5% of 25*2000).It is deducted from the bid winner's corpus. The remaining amount is distributed among all the 25 customers equally. Enclosed excel has the table with cashflows for each month. Task : ā¢ What is the Annualized Return of the person who bids in the last month ? ā¢ What is the Annualized Return of the person who bids in the first month ? ā¢ Write an R/Python script which calculates the annualized return of chit fund participant ?- Show the Return % for each month's bid winner. Document your assumptions. Note: Please google about how chit fund works, incase if you are not familiar with the mechanism!
Solutions to CodingBat problems
CodingBat Python solutions
NOTE: The form in my project is not for professional use, it just showcases the use of "FORMIK LIBRARY".
This time, I used tableau for data visualization.
Content for Udacity's Data Analyst curriculum
Cheat Sheets
This project aims to detect the face and eye of a human and utilized the same algorithm to detect the license plate on vehicles. Employs Opencv2 Framework for face and License Plate Detection. Utilized Haar Cascade Classifier for Detection.
I made a REST API using FAST API then to make response time faster, I used redis cache.
Predicted the Housing Index of US based on several factors such as mortgage rate, GDP, Unemployment rate, number of permits were given to build houses, etc.
Video chat application based on WebRTC (Laravel & reactJS)
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
These are the articles that I wrote on medium.com
It is an extremely basic portfolio website.