Pinned Repositories
ABtest_Click_Rate
AB Test
Berry-Levinsohn-and-Pakes-1995-in-R
Berry, Levinsohn, and, Pakes (1995) in R
BLP-Demand-Estimation
Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.
Find-Customers
Unsupervised learning: PCA & K-mean to Identify Customer Segments
Find-Donors-for-Charity
Use Supervised learning to find potential donors
IBM_Recommendation_System
Python: Recommendations for IBM Watson Studio's data platform
Image_Classification
Use Neural Network to train App to identify flowers
NLP_Disaster-Message-Classification
ETL, Natural Language Processing, ML pipeline by classifying disaster messages
Time_Series-Stock_Price_Forecasting
R project: use Time series Forecasting to investigate Google Search and Stock price patterns
Udacity_Term2_notes
Exercise in DS term2
jimmyadeline's Repositories
jimmyadeline/Find-Donors-for-Charity
Use Supervised learning to find potential donors
jimmyadeline/NLP_Disaster-Message-Classification
ETL, Natural Language Processing, ML pipeline by classifying disaster messages
jimmyadeline/Udacity_Term2_notes
Exercise in DS term2
jimmyadeline/IBM_Recommendation_System
Python: Recommendations for IBM Watson Studio's data platform
jimmyadeline/ABtest_Click_Rate
AB Test
jimmyadeline/BLP-Demand-Estimation
Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.
jimmyadeline/Find-Customers
Unsupervised learning: PCA & K-mean to Identify Customer Segments
jimmyadeline/Image_Classification
Use Neural Network to train App to identify flowers
jimmyadeline/Time_Series-Stock_Price_Forecasting
R project: use Time series Forecasting to investigate Google Search and Stock price patterns
jimmyadeline/cn-machine-learning
https://cn.udacity.com/mlnd/
jimmyadeline/data-analyst
Content for Udacity's Data Analyst curriculum
jimmyadeline/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
jimmyadeline/Discrete_Choice_Model
jimmyadeline/DSND_Term1
Contains files related to content and project of DSND
jimmyadeline/Econ_Package
jimmyadeline/machine-learning
Content for Udacity's Machine Learning curriculum
jimmyadeline/machine-learning-nd
Udacity's Machine Learning Nanodegree project files and notes.
jimmyadeline/ML-Working-Proj
ML projects
jimmyadeline/ML_Nano
jimmyadeline/mostly-harmless-replication
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
jimmyadeline/newrepo
test
jimmyadeline/NewYorkTaxi_exam
Regression
jimmyadeline/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
jimmyadeline/Project_DataAnalysis_Medical-Research-and-Innovation
Based on NIH data, explore the best places for health research and innovation.
jimmyadeline/SparkifyChurnPrediction
Sparkify User Churn Prediction by Apache Spark
jimmyadeline/stock
stock trading strategy
jimmyadeline/tensorflow
Computation using data flow graphs for scalable machine learning
jimmyadeline/Time-Series
Time Series Course Homework
jimmyadeline/ud513-data-struct-algos-python
UD513 Data Structures and Algorithms in Python Udacity Course (Brynn Claypoole)
jimmyadeline/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow