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thejasprasad's Projects

2018dsb icon 2018dsb

2018 Data Science Bowl 2nd Place Solution

bank_telemarketing-machinelearning-google_cloud_platform icon bank_telemarketing-machinelearning-google_cloud_platform

Goal of this project is to provide guidelines for the next marketing campaign to help the bank’s telemarketers prioritize their call lists to those customers most likely to sign up for a term deposit, which will optimize management of available resources and increase focus on the most promising customers.

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

classification_modeling-logistic_regression-linear_discriminant_analysis-kmeans_clustering icon classification_modeling-logistic_regression-linear_discriminant_analysis-kmeans_clustering

This is a classification project using Kobe Bryant’s game stats data created over 20 years, models were created to predict whether or not he is expected to make shots given various conditions. With 20 years of basketball stats, Bryant has data on everything ranging from the location on the court that he took the shot to the average noise in the arena at the time of the game.

creditcardml icon creditcardml

This is the source code for the Credit Card Fraud Detection Project in Machine Learning.

cudf icon cudf

cuDF - GPU DataFrame Library

data_science_bowl_2018 icon data_science_bowl_2018

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

dataminingnotebooks icon dataminingnotebooks

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

deep_q_learning icon deep_q_learning

This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube

educationdatanc icon educationdatanc

The Belk Endowment Educational Attainment Data Repository for North Carolina Public Schools

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

gans icon gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

genericrepo icon genericrepo

Test Repository for MSDS 6306 Introduction to Data Science

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