Pinned Repositories
100days
100 days of algorithms
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
NLP_Sentence-Clustering
Mini project for sentence clustering by NLP and K-mean method
Project_SEM_model
ScikitLearnNotes
SQL_gadget
Small sample of SQL
SVM_dualprimalsolution
provide dual solution for hard-margin linear SVM
WS1516_BADS
construct churn model prediction
jncinlee's Repositories
jncinlee/100days
100 days of algorithms
jncinlee/awesome-courses
:books: List of awesome university courses for learning Computer Science!
jncinlee/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
jncinlee/Project_SEM_model
jncinlee/ScikitLearnNotes
jncinlee/WS1516_BADS
construct churn model prediction
jncinlee/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
jncinlee/cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
jncinlee/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
jncinlee/DataSciencePython
common data analysis and machine learning tasks using python
jncinlee/deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
jncinlee/facebook_fanpage_analysis
scrape fanpage, analysis fanpage, export excel, predict reaction
jncinlee/free-data-science-books
Free resources for learning data science
jncinlee/git-demo
Try doing a demo and pushing to git
jncinlee/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
jncinlee/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jncinlee/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
jncinlee/jupyter
Jupyter metapackage for installation, docs and chat
jncinlee/KerasNote
jncinlee/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
jncinlee/mlflow
Open source platform for the machine learning lifecycle
jncinlee/models
Models and examples built with TensorFlow
jncinlee/PandasNotes
jncinlee/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
jncinlee/PySparkNotes
jncinlee/Python_gadget
jncinlee/ReinforceLearningNote
jncinlee/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
jncinlee/TensorFlowNote
jncinlee/TheanoNote