Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
acorn.python
acorn.sql
ai-study
personal ai (machine learning, deep learning) study
allstate_capstone
Allstate Kaggle Competition ML Capstone Project
AppliedNeuralNetworkTitanicSurvival
This notebook applies the architecture from Andrew Ng's Deep Learning Specialization from Coursera on the Titanic Survival data set from kaggle.
Artificial-Neural-Networks
ANN and Deep learning examples
awesome-very-deep-learning
🔥A curated list of papers and code about very deep neural networks
Baseline-DNN-tf-model
Kaggle Challenge- Predicting House prices using a Deep neural network in tensorflow.( NOTE : Runs for 13-15 mins approx on Intel i5 4 gb RAM)
Ranalyze
heemokyim's Repositories
heemokyim/Ranalyze
heemokyim/10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
heemokyim/boaz_base
heemokyim/Credit-Card-Fraud
A Very Deep Neural Network that can classify Credit Card Fraudulent Transaction with 99.92% Accuracy.
heemokyim/Datascience_Portfolio
My journey with datascience
heemokyim/deep-learning-study
heemokyim/DeepNeuralNetwork_HousePrices
Deep neural network created with python + keras to estimate housing prices from Kaggle dataset
heemokyim/dsschool
dsschool jupyter notebook
heemokyim/ELO
Elo Merchant Category Recommendation 21th solution
heemokyim/elo-recommender
Kaggle Competition
heemokyim/eloMerchantComp_kaggle
https://www.kaggle.com/c/elo-merchant-category-recommendation
heemokyim/EloMerchantKaggle
This is a repository for elo merchant kaggle competition.
heemokyim/Genetic-Algoritm
heemokyim/GooglePlay-Review-Crawler
Crawl the review of google play store 2018
heemokyim/heemokyim.github.com
github pages
heemokyim/heemokyim.github.io
Build a Jekyll blog in minutes, without touching the command line.
heemokyim/kaggle
Kaggle competitions
heemokyim/kaggle_elo_merchant_category_recommendation
heemokyim/Kaggle_KR
2018 공개 소프트웨어 컨트리뷰톤 - 캐글 속 커널 한글화 작업을 통한 데이터 사이언스 대중화 프로젝트
heemokyim/Learn-Keras-for-Deep-Neural-Networks
Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. The overall book comprises three sections with two chapters in each section. The first section prepares you with all the necessary basics to get started in deep learning. Chapter 1 introduces you to the world of deep learning and its difference from machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be solved by supervised learning algorithms with deep neural networks. You’ll tackle one use case for regression and another for classification leveraging popular Kaggle datasets. Later, you will see an interesting and challenging part of deep learning: hyperparameter tuning; helping you further improve your models when building robust deep learning applications. Finally, you’ll further hone your skills in deep learning and cover areas of active development and research in deep learning. At the end of Learn Keras for Deep Neural Networks, you will have a thorough understanding of deep learning principles and have practical hands-on experience in developing enterprise-grade deep learning solutions in Keras.
heemokyim/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
heemokyim/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
heemokyim/Master-project
Project from 2017
heemokyim/project2-IEEE-CIS-Fraud-Detection
heemokyim/s
heemokyim/Santander-Customer-Transaction-Prediction
heemokyim/seaborn
Statistical data visualization using matplotlib
heemokyim/Study_Python
Python 공부 내용을 정리합니다.
heemokyim/tobigs
heemokyim/wns-analytics-wizard-2018
Winners solutions for [WNS Analytics Wizard 2018](https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018/)