digantkumar Goto Github PK

book-analyze-using-nltk

A program that uses the NLTK package to analyze the contents of the book i.e longest word, longest stem family etc.

calendar-program

This program prints the calendar for the given month and given year

credit-card

A simple credit card program using Classes and Objects, which keeps track of the customers transactions via updating their balance etc.

datasets

A public repo of datasets

dice-game

email-parser

This program targets emails from a company Enron and specifically those emails sent by Jay K and Skilling J. The program prints out a summary of all the emails sent by these two.

excelexamples

Example files for Excel Tutorials at https://www.youtube.com/watch?v=dEGVT1_yHKg&list=PLhPyEFL5u-i3ToOEhCPbpak4_S8zAZLn-

generalized-linear-modelling-project

Conducted Preliminary Analysis on the given raw data by visualizing the trends and interpreted the variables with respect to the response variable. Fitted generalized linear models, starting from the null model to the final model and checked if the fitted model is adequate or not. Conducted diagnostics tests by checking for high leverage, high influential, outliers, sparsity and over dispersion in the given data. Generated a detail-oriented report on the same and explained the findings in layman terms.

hidden-message-steganography-

A python program that takes a passage of English Language text as a string and that recovers and returns the hidden message by taking the first letter of every fifth word of the text.

linear_regression

number_to_english

Python program which takes a number between 1 to 999 and returns a string containing the number expressed in English words.

open-data

Free football data from StatsBomb

perfect_cube

Program which returns true if the given number is a perfect cube or not and then also proceeds to find the next perfect cube.

python-programs

Contains all the mini python projects which i have completed.

suv-data-analysis

syracuse-collatz-sequence

Contains three functions to do the specified task.

text-classification-machine-learning-

Applied the state-of-the-art machine learning techniques namely KNN, Naïve Bayes, Decision Trees, Random Forest, Support Vector Machines, Cross Validation on a manually created bag of words from a raw folder and summarized the result of all the various techniques before and after hyper parameter tuning and generated a report on the same using performance metrics.

text-reconstruction-deep-learning-

• Extensions to Basic Autoencoder: Generated results for three different Dense and two different CNN architectures and compared their performance and summarized the impact of the architectures on performance. • Denoising Autoencoder: Generated complex CNN and ANN models to remove noise from an image and summarized the results using accuracy and clear predicted images. • Text Reconstruction: Generated complex CNN and ANN text reconstruction models from scratch, comparing their performances, accuracy and predicted images and generated a detailed report on the same.

tic-tac-toe

Program which allows the user to play tic tac toe via user interactions

titanic-analys-using-numpy-pandas

Worked on the famous titanic dataset using Pandas, Numpy & Matplotlib. Initialy steps included collecting the data and visualizing to draw inferences on the survived passengers. After which, data cleaning was done to remove the unnecessary variables. Finally, the data was split into train and test and logistic regression was performed which then gave an accuracy of 80%

typeshed

Collection of library stubs for Python, with static types

us-states-quiz

web-scraping

First try at web/image scraping. Downloading images from the webite 'https://xkcd.com/'. The front page has a previous button, and we keep on downloading till all the images have been loaded

word-stats-in-a-file

Reading a docx file, calculating the occurrences of the words contained in the file, and writing those words onto a excel file who have a frequency (word occurrence/total words) of greater than or equal to 0.01.