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Mahima Gupta's Projects

attrition-prediction icon attrition-prediction

It is a Binary classification Problem to know if the employee would sustain in a company or not.

baby_names icon baby_names

The code aims to predict if the baby name is of a boy or a girl.

backpropagation icon backpropagation

My derivation of the backpropagation algorithm used in deep neural networks.

data_science_notes icon data_science_notes

These are my personal hand written notes in Machine learning, Deep learning and Python. Mainly the notes include complete Machine Learning and Deep Learning Course of Andrew Ng|Coursera|Stanford and Recommendation Engine based on Collabrative Filtering and SVD.

digit-recognition icon digit-recognition

Code uses CNN for the image classification problem on Kaggle having digits 0-9.

driver_prediction icon driver_prediction

Predict which driver should be assigned a cab ride order. Details about the rides and driver's response for 10 days is provided and predictions have to be done for the 11th day.

drivers-availabilty-prediction icon drivers-availabilty-prediction

Trained a model to predict the number of hours individual drivers would be available on each day of the last week of the month given his information about the first 3 weeks.

fake-news-detection icon fake-news-detection

The code aims at detecting fake news. It is done using tfidf vecorizer on a Kaggle dataset.

ipl_problem icon ipl_problem

The goal of the contest is to develop a model to predict likelihood of a team winning the match.

iris-dataset icon iris-dataset

Classification problem from Kaggle to predict the different variety of flowers.

meetup-resources icon meetup-resources

This repository houses resources used in all Pyladies Bhubaneswar meetups till date.

movie-review icon movie-review

This is a sentiment analysis problem on Kaggle with reviews about a movie classified as positive and negative.

mt-cars icon mt-cars

Code aims to calculate the mpg of a car given several parameters.

sentiment-analysis icon sentiment-analysis

Kaggle problem of binary classification on sentiment analysis .Count vectorizer and word embedding techniques for dealing with the text data.

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