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Ishan Kotian's Projects

bank-customers-churn-classification-with-deep-learning icon bank-customers-churn-classification-with-deep-learning

The goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Also, rank all the customers of the bank, based on their probability of leaving.

best-data-science-resources icon best-data-science-resources

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

bil_project-life_expectancy_prediction icon bil_project-life_expectancy_prediction

Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.

fifa19-player-and-team-analysis-and-value-predict icon fifa19-player-and-team-analysis-and-value-predict

The FIFA 19 dataset that has been used for this analysis provides statistics of about 18000 players on over 90 different attributes. These attributes are optimal indicators to determine the performance of a player at a particular playing position.

nerual-network_image-data icon nerual-network_image-data

A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria.

red-wine-quality-analysis icon red-wine-quality-analysis

These datasets can be viewed as classification or regression tasks. The classes are ordered and not balanced (e.g. there are much more normal wines than excellent or poor ones).

tokenizer_nlp icon tokenizer_nlp

Tokenization is a way of separating a piece of text into smaller units called tokens. Here, tokens can be either words, characters, or subwords. Hence, tokenization can be broadly classified into 3 types – word, character, and subword (n-gram characters) tokenization.

twitter-sentiment-analysis icon twitter-sentiment-analysis

Hate Speech in the form of racism and sexism has become a nuisance on Twitter and it is important to segregate these sort of tweets from the rest. In this problem, I have taken the Twitter data that has both normal and hate tweets. So the task was to identify the tweets which have a positive connotation from the tweets that have a negative one.

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