Pinned Repositories
data-science-BigData
Big Data related projects
data-science-Python-language
Python Projects such as airline delay, customer credibility, insurance claim, and user booking
data-science-R-language
Projects Related to Data Science - R language
GmdhPy
Multilayered iterational algorithm of the Group Method of Data Handling
kaggle-competition
Kaggle Projects such as satellite image processing
NLP-project
Sentimental Analysis for Amazon Book Reviews
recommendation_system_project
recommendation system for Steam games, web crawler, spark ML, Flask web application
jianleisun's Repositories
jianleisun/GmdhPy
Multilayered iterational algorithm of the Group Method of Data Handling
jianleisun/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
jianleisun/ai-fundamentals
Code samples for AI fundamentals
jianleisun/AI-SpeechToText
Repo for VS Code Environment for Learn Module
jianleisun/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
jianleisun/Application-of-Both-Physics-Based-and-Data-Driven-Techniques-for-Real-Time-Screen-Out-Prediction-wit
2020 URTeC Theme 6: Machine Learning, AI and Big Data in the Digital Oilfield, Cross-Discipline Leveraging of Data Mining, Modeling, and Data Analytics
jianleisun/Booknotes---System-Design-Interview-by-Alex-Xu
A collection of my book notes on various subjects, mainly computer science
jianleisun/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
jianleisun/dash-sample-apps
Open-source demos hosted on Dash Gallery
jianleisun/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
jianleisun/Deep_Learning
added all materials
jianleisun/deep_learning_lesson_1_imgClassifierWeb
jianleisun/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
jianleisun/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
jianleisun/dl-4-tsc
Deep Learning for Time Series Classification
jianleisun/dlaicourse
Notebooks for learning deep learning
jianleisun/dlrm
An implementation of a deep learning recommendation model (DLRM)
jianleisun/DP-100-Designing-and-Implementing-a-Data-Science-Solutio
jianleisun/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jianleisun/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
jianleisun/machine-learning-notebook
Collection of all of my notes on machine learning, topics span visual recognition, clustering, natural language processing and more.
jianleisun/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
jianleisun/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
jianleisun/TensorFlow-Coding
这是我在小象学院课程《深度学习之TensorFlow高级编程》的课程代码，详细讲解可以参阅小象学院的课程视频http://www.chinahadoop.cn/course/1227
jianleisun/TensorFlow-Data-and-Deployment
jianleisun/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
jianleisun/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
jianleisun/tfjs-models
Pretrained models for TensorFlow.js
jianleisun/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
jianleisun/WebApplication1