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Arjun VS's Projects

chocolate-bar-rating icon chocolate-bar-rating

Chocolate is one of the most popular candies in the world. Each year, residents of the United States collectively eat more than 2.8 billions pounds. However, not all chocolate bars are created equal! This dataset contains expert ratings of over 1,700 individual chocolate bars, along with information on their regional origin, percentage of cocoa, the variety of chocolate bean used and where the beans were grown.

credit-card-defaulter-prediction-al-ml icon credit-card-defaulter-prediction-al-ml

Predicting the probability of the customer defaulting using Machine Learning Algorithms. Used Database(SQL Server) to fetch the data to python and the results are connected to Tableau for more visualization

fifa-world-cup-prediction icon fifa-world-cup-prediction

To predict who will win the next World Cup? The FIFA World Cup is a global football competition contested by the various football-playing nations of the world. It is contested every four years and is the most prestigious and important trophy in the sport of football.

image-captioning-through-seq-modelling-cnn-rnn icon image-captioning-through-seq-modelling-cnn-rnn

A model (CNN+RNN) that can generate a descriptive caption for an image. We used Encoder-Decoder architecture that generates sequences will use an Encoder to encode the input into a fixed form and a Decoder to decode it, word by word, into a sequence. Deployed a web app using Flask

indians-diabetes-prediction icon indians-diabetes-prediction

The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database.

kaggle-projects icon kaggle-projects

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

ml-dl-algorithms-from-scratch icon ml-dl-algorithms-from-scratch

Implemented machine learning algorithms intuition with gradient descents from scratch using NumPy and Pandas. Algorithms include Linear Regression variants, Naïve Bayes, KNN, PCA, SVC and Neural Network.

multiclass-image-prediction-with-sparse-dataset icon multiclass-image-prediction-with-sparse-dataset

A CNN architecture was built using keras with convolution & pooling layers, Dropouts, and with a Softmax layer the last. Ensemble approach to make the model more robust and with generalization capability to the unseen data. Bayesian optimization is used for hyper parameter tuning the deep learning model.

paddlehub icon paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.(180+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

papers-i-read icon papers-i-read

I am inspired by my Mentors to kick start an initiative to read a paper a week. This repository will hold all those papers and presentations and related summaries.

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