[Kaggle] 초보자를 위한 캐글 튜토리얼 by Hassan Amin

Introduction(소개)

Here's list of data science tutorials, that I worked on to help train our team in data science. This also shows you the path that you may follow to learn data science.

As you may see, we got started with Python, jumped into pre-processing and exploratory data analysis, learned a number of machine learning and deep learning techniques and explored a number of problems.

다음은 데이터 과학에 대한 팀 교육을 돕기 위해 작업 한 데이터 과학 자습서 목록입니다. 이것은 또한 데이터 과학을 배우기 위해 따라야 할 길을 보여줍니다.

아시다시피, 우리는 파이썬을 시작했고, 전처리 및 탐색 적 데이터 분석에 뛰어 들었고, 많은 머신 러닝과 딥 러닝 기술을 배우고, 많은 문제를 탐구했습니다.

Note

Don't forget to like, share and upvote any tutorial that you may benefit from. Feel free to leave your thoughts/opinion in comments. This is only a fraction of the stuff, more will come in future.

혜택을 받을 수있는 자습서를 좋아하고 공유하고 찬성하는 것을 잊지 마십시오. 의견이나 의견을 남겨주세요. 이것은 단지 일부일 뿐이며 앞으로 더 많이 올 것입니다.

파이썬 시작하기

https://www.kaggle.com/hassanamin/python-getting-started-training

https://www.kaggle.com/hassanamin/python-session-3

전처리 및 탐색 데이터 분석 탐색

https://www.kaggle.com/hassanamin/exploring-preprocessing-steps

https://www.kaggle.com/hassanamin/exploratory-data-analysis-aka-eda-on-red-wine-data

https://www.kaggle.com/hassanamin/principal-component-analysis-with-code-examples

Machine Learning 기본

https://www.kaggle.com/hassanamin/kmeans-clustering-seed-dataset

자연어 처리(Natural Language Processing)

https://www.kaggle.com/hassanamin/glove-based-text-classification

https://www.kaggle.com/hassanamin/nlp-with-deep-learning-and-embedding-layer

PySpark DataFrames

https://www.kaggle.com/hassanamin/pyspark-dataframes

SpaCy

https://www.kaggle.com/hassanamin/learning-spacy-basics

감성분석(Sentiment Analysis)

https://www.kaggle.com/hassanamin/sentiment-analysis-using-nltk

https://www.kaggle.com/hassanamin/sentiment-analysis-using-classification-approach/

가짜 뉴스 분류(Fake News Classification)

https://www.kaggle.com/hassanamin/fake-news-classifier

https://www.kaggle.com/hassanamin/fake-news-classifier-using-glove

https://www.kaggle.com/hassanamin/fake-news-classifier-with-deep-learning-embedding

컴퓨터 시각 인식(Computer Vision)

https://www.kaggle.com/hassanamin/keras-neural-network-for-digit-recognition

https://www.kaggle.com/hassanamin/exploring-cnn-on-mnist

How to start Pyspark in Kaggle ?

https://www.kaggle.com/hassanamin/pyspark-dataframes

Datasets

# ATIS Airline Travel Information System(ATIS Intent Classification Dataset)

https://www.kaggle.com/hassanamin/atis-airlinetravelinformationsystem

Iris Dataset

https://www.kaggle.com/hassanamin/iris-dataset

https://www.kaggle.com/hassanamin/customer-churn

Reference

https://www.linkedin.com/pulse/learning-data-science-dr-syed-hassan-amin/

Note

Please share, upvote and comment to help me create and share more content for the community.
Thank you all.

커뮤니티의 더 많은 컨텐츠를 작성하고 공유 할 수 있도록 공유, 투표 및 의견을 보내주십시오.
모두 감사합니다.

 

출처 : https://www.kaggle.com/getting-started/125201