Pinned Repositories
Donors_finding_CharityML
Implementation supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
Identify-customer-segments-hidden-in-the-customer-info
apply unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data, Apply preprocessing techniques such as feature scaling and outlier detection. interpret data points that have been scaled, transformed, or reduced from PCA. Analyze PCA dimensions and construct a new feature space. Optimally cluster a set of data to find hidden patterns in a dataset. Assess information given by cluster data and use it in a meaningful way.
OpenStreetMap_Pittsburgh_metro_exploration_mongodb
I will choose Pittsburgh city area of the world in https://www.openstreetmap.org and use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world that you care about. Finally, you will choose Mongodb as the data schema to complete your project.
self-driving-smartcab
Once the agent is successful at operating within the environment, I will then identify each possible state the agent can be in when considering such things as traffic lights and oncoming traffic at each intersection. With states identified, I will then implement a Q-Learning algorithm for the self-driving agent to guide the agent towards its destination within the allotted time. Finally, I will improve upon the Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure the self-driving agent is reaching its destinations with consistently positive results.
Design-perceptural-phenomenon-experiment-test-Stroop-Effect-
In this project, I will investigate a classic phenomenon from experimental psychology called the Stroop Effect.
doggy_spotter
I learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, The algorithm I build will identify an estimate of the dog’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
cloud-computing-mini-project
-Whole-Book-Second-Hand-Ecommerce-system
The Whole Book E-commerce system is designed to provide a platform to customers to purchase books or sell their own books. There are customer account management side and manager management side. Customer could purchase book online and also can post the book's information online so that others customers can purchase the book. Manager can manage the books selling and customer information.
Hadoop-Project-Establishment
This file contains three main projects. 1), MapReduce Project - Google Search Auto Complete. 2), MapReduce Project - PageRank. 3), MapReduce Project - Recommender System
boston_housing_price_prediction
apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
solidsrock's Repositories
solidsrock/Hadoop-Project-Establishment
This file contains three main projects. 1), MapReduce Project - Google Search Auto Complete. 2), MapReduce Project - PageRank. 3), MapReduce Project - Recommender System
solidsrock/d3js_demo_collection
d3.js reference document
solidsrock/OpenStreetMap_Pittsburgh_metro_exploration_mongodb
I will choose Pittsburgh city area of the world in https://www.openstreetmap.org and use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for a part of the world that you care about. Finally, you will choose Mongodb as the data schema to complete your project.
solidsrock/machine_learning_CNN_practices_project
solidsrock/Donors_finding_CharityML
Implementation supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
solidsrock/TensorFlow-image-classification-by-NN
In this project, I will classify images from the CIFAR-10 dataset by using TensorFlow.
solidsrock/identifying-fraud-from-enron-email-prooject
In 2000, Enron was one of the largest companies in the United States. By 2002, it had collapsed into bankruptcy due to widespread corporate fraud. In the resulting Federal investigation, a significant amount of typically confidential information entered into the public record, including tens of thousands of emails and detailed financial data for top executives. In this project, you will play detective, and put your new skills to use by building a person of interest identifier based on financial and email data made public as a result of the Enron scandal. To assist you in your detective work, we've combined this data with a hand-generated list of persons of interest in the fraud case, which means individuals who were indicted, reached a settlement or plea deal with the government, or testified in exchange for prosecution immunity.
solidsrock/doggy_spotter
I learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, The algorithm I build will identify an estimate of the dog’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
solidsrock/Design-perceptural-phenomenon-experiment-test-Stroop-Effect-
In this project, I will investigate a classic phenomenon from experimental psychology called the Stroop Effect.
solidsrock/machine_learning
upload the fundamental algorithm of machine learning application program by python.
solidsrock/self-driving-smartcab
Once the agent is successful at operating within the environment, I will then identify each possible state the agent can be in when considering such things as traffic lights and oncoming traffic at each intersection. With states identified, I will then implement a Q-Learning algorithm for the self-driving agent to guide the agent towards its destination within the allotted time. Finally, I will improve upon the Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure the self-driving agent is reaching its destinations with consistently positive results.
solidsrock/boston_housing_price_prediction
apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
solidsrock/Wrangling-and-auditing-dirty-data-with-python
Assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.
solidsrock/Identify-customer-segments-hidden-in-the-customer-info
apply unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data, Apply preprocessing techniques such as feature scaling and outlier detection. interpret data points that have been scaled, transformed, or reduced from PCA. Analyze PCA dimensions and construct a new feature space. Optimally cluster a set of data to find hidden patterns in a dataset. Assess information given by cluster data and use it in a meaningful way.
solidsrock/data_wrangling_exercises
data science by python .Tthe practices of data wrangling and processing and machine learning by python.
solidsrock/mongodb_data_import_python
solidsrock/shelter_animal_outcome_kaggle
kaggle competition
solidsrock/cloud-computing-mini-project
solidsrock/-Whole-Book-Second-Hand-Ecommerce-system
The Whole Book E-commerce system is designed to provide a platform to customers to purchase books or sell their own books. There are customer account management side and manager management side. Customer could purchase book online and also can post the book's information online so that others customers can purchase the book. Manager can manage the books selling and customer information.
solidsrock/simulation-trade
this task is to understand the concurrency issues in multi process trade in Operating System.
solidsrock/mini-calculator-by-matlab
mini claculator developed by Matlab is designed to implement the simple mathematics calculation.
solidsrock/grammer-parser-implementation
given a grammer, write an LL1 parser (table) to parse the input string.