• Stars
    star
    2
  • Language
    Python
  • Created over 4 years ago
  • Updated over 3 years ago

Reviews

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

Repository Details

Manipulation of MAPI using Python to retrieve information from Outlook client. I have implemented some scenarios where Outlook client can be scanned to automate read functionality

More Repositories

1

ai-with-python-series

A Python Series of tutorials aimed at learning Artificial Intelligence concepts. This series of tutorials start from the basics of Python and builds on top of it. We will cover three full-fledged case studies to practice AI Implementation of Python with real data and solve real-world problems.
Jupyter Notebook
86
star
2

statistics_with_python

This repository is aimed to be a guide and a tutorial for anyone learning Python implementation of general statistical analysis through the data visualization lens.
Jupyter Notebook
4
star
3

r-finance-analysis

A project using R to run predictions on stock data and build an optimal portfolio using Sharpe Ratio
HTML
1
star
4

ga-reinforcement-learning-image-restoration

A Project using Genetic Algorithms and Reinforcement Learning mechanisms to implement Image Restoration and Recreation.
Jupyter Notebook
1
star
5

spark-ud-2002

Project Contents are applications on MapReduce and Spark. The repository contains projects based on Udacity's Spark Introduction course. Explains the basic functioning of Big Data.
Jupyter Notebook
1
star
6

leetcode-ds-algo

Leetcode problems synced through the LeetHub Chrome extension
Python
1
star
7

Prediction-of-Insurance-Payments-for-Surgical-Procedures

Repository part of Columbia University's MS in Data Science Capstone Project. This repository solves attempts to solve the problem of predicting commercial insurance payments for surgical procedures
Jupyter Notebook
1
star
8

titanic-survivor-logistic-regression

Machine Learning using Logistic Regression: Whenever the variable that needs to be predicted requires a "binary" solution to the problem, we use Logistic Regression. This repository contains a project that will use Logistic Regression to determine whether a passenger; given their features could have survived the Titanic Crash.
Jupyter Notebook
1
star